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Yandex Ranking Factor

Adam Martelletti

Analysis of Yandex's search engine ranking algorithm indicates that there are 1,922 factors impacting site rankings.

SEO professionals are already analyzing Yandex's ranking criteria, which includes PageRank and other link-related considerations.

An ex-worker is alleged to have revealed a Yandex source code directory, which contained close to 1,900 variables used by search engines for positioning websites in their search outcomes.
This Yandex hack, which uncovered 1,922 ranking signals used in their search algorithm as of July 2022, has everyone talking. Even Martin MacDonald shared on Twitter that this may be “the most interesting thing to have happened in SEO in years.” It's easy to understand why everyone is so intrigued.
Yandex is not the same as Google. If you intend to read the whole directory of Yandex ranking components, take into account that Yandex does not match with Google. If a position factor is reported by Yandex, it does not necessarily mean that Google likewise grants it the same measure of weight. Quite possibly, Google might not even utilize all 1,922 elements that were listed. Much of the aspects included in this reveal have either been abandoned or never used.
Therefore, many of these ranking factors likely resemble the signals Google uses for their search engine. Thus, studying this document may provide useful insights to help you comprehending how a search engine like Google works on a technical level In a larger context, as reported by Bleeping Computer, the code surfaced as a Torrent on a renowned hacking forum.
The leaker shared a magnet link that they say consists of 44.7 GB of files allegedly taken from the company in July 2022, claiming them to be Yandex's git sources. The purported code repositories are said to contain all source codes besides anti-spam rules.
Yandex has proclaimed that their security has not been breached, and the code leak seen on a well-known hacking forum is unrelated.
Here is their official statement:
“Yandex was not hacked. Our security service found code fragments from an internal repository in the public domain, but the content differs from the current version of the repository used in Yandex services.
A repository is a tool for storing and working with code. Code is used in this way internally by most companies.
Repositories are needed to work with code and are not intended for the storage of personal user data. We are conducting an internal investigation into the reasons for the release of source code fragments to the public, but we do not see any threat to user data or platform performance.”

Do more research - Techmeme has additional coverage of the leak.

Alex Buraks created two Twitter threads discussing the different ranking factors – one thread here and another thread there – as well as a third intriguing thread from Michael King.
Dan Taylor has revealed insights about Yandex search algorithm changes in his report for Russian Search News on the data leak.
Quality of a website, relevancy of content, and page speed are all important considerations for Yandex's rankings.
PageRank and various link-related criteria (like age, relevance, etc.).
Text relevancy.
Content age and freshness.
End-user behavior signals.
Host reliability.
Some websites have an edge, such as Wikipedia.
Surprisingly, SEOs have found that some ranking factors include the number of unique visitors, percent of organic traffic and average domain ranking across queries.
Taylor outlined that 244 of the ranking factors were termed as unused and 988 as deprecated, meaning 64% of the document is either no longer in use or has been replaced. There are thus roughly around 690 potential ranking factors, with many of them providing limited explanations.
Rob Ousbey has developed the Yandex Search Ranking Factor Explorer, a tool to explore the different ranking factors.
These are factors that are commonly believed to impact the ranking of websites in the Yandex search engine, but the exact algorithms used by Yandex are confidential but have been leaked and may differ from the factors listed.
The factors listed include both technical elements (e.g., crawl depth, URL structure, host reliability) and content-related factors (e.g., backlinks, content quality, organic traffic).
It is important to note that these factors are subject to change as search engines continually update their algorithms to provide the best results to users.
Yandex rank factors
Column 1
Column 2
Column 3
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Yandex - Ranking Factor
Final Prompt
ChatGPT Explanation
2
Factor { Index: 1 CppName: "FI_TEXT_RELEV" Name: "TR" AntiSeoUpperBound: 0.95 Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Текстовая релевантность (maxfreq – частота самого частого слова, которая имеет смысл длины документа)." Authors: ["gulin", "iseg", "leo", "maslov"] Responsibles: ["gulin", "leo", "maslov"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 1 CppName: "FI_TEXT_RELEV" Name: "TR" AntiSeoUpperBound: 0.95 Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Текстовая релевантность (maxfreq – частота самого частого слова, которая имеет смысл длины документа)." Authors: ["gulin", "iseg", "leo", "maslov"] Responsibles: ["gulin", "leo", "maslov"]
} This code provides the information regarding a certain search engine ranking factor called Link Relevance (LR). The index of this factor is 2, it belongs to the group 'Dynamic' and has the tags of Document, Dynamic, Link Text, Undocumented and Deprecated. Additionally, the upper bound for this factor is 1.0. 'Link Relevance' is an anti-Seo factor, and it is mapped by the authors "aavdonkin", "gulin", "leshch" and "melkov". The people responsible for this factor are "aavdonkin", "gulin" and "melkov".
3
Factor { Index: 2 CppName: "FI_LINK_RELEV" Name: "LR" AntiSeoUpperBound: 1.0 Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность. Фактор ремапится." Authors: ["aavdonkin", "gulin", "leshch", "melkov"] Responsibles: ["aavdonkin", "gulin", "melkov"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 2 CppName: "FI_LINK_RELEV" Name: "LR" AntiSeoUpperBound: 1.0 Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность. Фактор ремапится." Authors: ["aavdonkin", "gulin", "leshch", "melkov"] Responsibles: ["aavdonkin", "gulin", "melkov"]
} This code is about a search engine ranking factor called "LR" (Link Relevance). It is a dynamic factor which is mapped from other factors, and it is assigned an index of 2 when compared to other factors. The factor is related to the documents' links, link texts, and other information which are not necessarily documented. It involves the authors "aavdonkin", "gulin", "leshch", and "melkov". Those authors also have responsibility for the factor. The description of the factor is in Russian and it translates as "Link relevance. The factor is remapped".
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Factor { Index: 3 CppName: "FI_PAGE_RANK_BONUS" Name: "PrBonus" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/PageRankBonus" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Priority bonus, приоритет 7 - текстовый приоритет. Фактор бинарный, имеет значение 0 для всех однословных запросов, и значение 1 практически для всех двух и более словных, кроме очень маленького количества ответов, для которых нет ни одной ссылки, прошедшей кворум, и текст тоже не прошел кворум." Authors: ["gulin", "leo"] Responsibles: "pavelgur"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 3 CppName: "FI_PAGE_RANK_BONUS" Name: "PrBonus" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/PageRankBonus" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Priority bonus, приоритет 7 - текстовый приоритет. Фактор бинарный, имеет значение 0 для всех однословных запросов, и значение 1 практически для всех двух и более словных, кроме очень маленького количества ответов, для которых нет ни одной ссылки, прошедшей кворум, и текст тоже не прошел кворум." Authors: ["gulin", "leo"] Responsibles: "pavelgur"
Status: "Active" } The code refers to a Yandex search engine ranking factor. The factor is labeled as “FI_PAGE_RANK_BONUS” and is grouped under “Dynamic”. This factor assigns a bonus to a search ranking depending on the number of words and links associated with the query. It is mostly assigned a value of 0 for one word queries and 1 for two or more word queries. The exceptions are for very few queries that have failed to produce links or text that have failed to pass the quality assessment. The code was authored by gulin and leo and is currently active.
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Factor { Index: 4 CppName: "FI_TEXT_RELEV_ALL_WORDS" Name: "TRp1" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Приоритет strict для TR - текстовый приоритет - есть все слова запроса где-то в документе (при этом они проходят контекстные ограничения запроса, например, оба слова д.б. в одном предложении)." Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 4 CppName: "FI_TEXT_RELEV_ALL_WORDS" Name: "TRp1" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Приоритет strict для TR - текстовый приоритет - есть все слова запроса где-то в документе (при этом они проходят контекстные ограничения запроса, например, оба слова д.б. в одном предложении)." Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]
} This code is about assigning a priority to the Yandex Search Engine based on relevant text. It assigns a "strict priority" to TR, which is text priority - meaning that each query word should be somewhere in the document. Additionally, the query words must abide by contextual restrictions, for example both words should be in the same sentence. It was authored by 'denplusplus', 'gulin' and 'leo' and is currently responsible by 'alsafr', 'gulin' and 'leo'. The index is 4, the C++ name is "FI_TEXT_RELEV_ALL_WORDS", the name is "TRp1", the group is "LegacyTR" and the tags include TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED , TG_OFTEN_ZERO and
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Factor { Index: 5 CppName: "FI_TEXT_RELEV_PHRASE" Name: "TRp2" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "Приоритет phrase для TR - текстовый приоритет - есть все слова запроса подряд в документе." Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 5 CppName: "FI_TEXT_RELEV_PHRASE" Name: "TRp2" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "Приоритет phrase для TR - текстовый приоритет - есть все слова запроса подряд в документе." Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]
Updated: 15.01.2020 Formula: int TF = phrase_1_count + 0.87 * phrase_2_count; This code is about Yandex Search Engine ranking factors. It is about a factor relating to the Priority of a Phrase for Text Ranking (TRp2). The factor determines the priority of words in a query for the documents via the formula: int TF = phrase_1_count + 0.87 * phrase_2_count. It is associated with document text, dynamic content, binary features, undocumented features, often zero features, rearrangement use, neural networks and overlaying features. It is updated on the 15.01.2020 and the authors and responsible are denplusplus, gulin and leo.
7
Factor { Index: 6 CppName: "FI_LINK_RELEV_ALL_WORDS" Name: "LRp1" Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "(strict) есть все слова запроса в одном линке." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 6 CppName: "FI_LINK_RELEV_ALL_WORDS" Name: "LRp1" Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "(strict) есть все слова запроса в одном линке." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
DefaultValue: 0.25 ClearValue: 0.25 IsVisibleInUI: false } This code is about the Yandex Search Engine ranking factor. The ‘LRp1’ ranking factor is a dynamic factor which is related to links and documents. Its purpose is to check if all the words that are part of the query are located within a single link. If yes, then a value of 0.25 is assigned to the factor, otherwise a value of 0.25 is assigned. It was authored by Gulin and Leo and is not visible in the user interface.
8
Factor { Index: 7 CppName: "FI_LINK_RELEV_PHRASE" Name: "LRp2" Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "(phrase) есть все слова запроса подряд в одном линке." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 7 CppName: "FI_LINK_RELEV_PHRASE" Name: "LRp2" Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "(phrase) есть все слова запроса подряд в одном линке." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
SuggestedTargets: [0, 1, 3] Url: "" This code is an analysis of the relevance of certain keywords or phrases within a certain link. It is a way of determining the ranking of websites based on the relevance of their content. The "Index" field is the ranking given to this factor, the "CppName" is a unique identifier for the factor, the "Name" is the name of the factor, the "Group" field is the group the factor belongs to, the "Tags" are additional classifications for the factor, "Description" describes what the factor covers, the "Authors" and "Responsibles" indicate who developed and is responsible for the factor, and "SuggestedTargets" are the suggested target values for this factor (which are usually related to ranking). Finally, the "Url" field can contain a link to the document outlining this factor.
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Factor { Index: 8 CppName: "FI_TEXT_RELEV_TITLE" Name: "TRtitle" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Наличие точной фразы (текста запроса) в заголовке (если точнее, в первом предложении документа). Контекстные ограничения и стоп слова учитываются в точности как в TRp2, т.е. factor[8] minors factor[5]" Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 8 CppName: "FI_TEXT_RELEV_TITLE" Name: "TRtitle" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Наличие точной фразы (текста запроса) в заголовке (если точнее, в первом предложении документа). Контекстные ограничения и стоп слова учитываются в точности как в TRp2, т.е. factor[8] minors factor[5]" Authors: ["denplusplus", "gulin", "leo"] Responsibles: ["alsafr", "gulin", "leo"]
Prerequisites: [NULL] References: ["google::texp1801", "google::texp1802", NULL] LastModified: 2011 Version: 4 ChangeLog: "Удалили две дивергенции, добавили две: стимуляцию заголовка увеличиваем для маленьких документов homelike" } This code is about examining a document and assessing its relevance to a query. It is based on a legacy search engine called Yandex. It evaluates the presence of an exact phrase from the query in the
10
Factor { Index: 9 CppName: "FI_TEXT_RELEV_WHOLE_HR_MATCHED" Name: "TRhr" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Встретился участок, прошедший кворум, в котором все словопозиции обозначены как имеющие релевантность BEST_RELEV (заголовок или meta keywords)." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 9 CppName: "FI_TEXT_RELEV_WHOLE_HR_MATCHED" Name: "TRhr" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Встретился участок, прошедший кворум, в котором все словопозиции обозначены как имеющие релевантность BEST_RELEV (заголовок или meta keywords)." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
RelevancyStrategy: RS_THRESHOLD_SURVIVOR RelevParam: 0.6 WeightFunction: WF_LINEAR WeightParam: 0.1 SortFieldName: "" RatioToUse: 0.1 } This code is about a relevancy ranking factor for the Yandex search engine. The factor is called "TRhr" and is part of the "LegacyTR" group of ranking factors. It is associated with various types of documents, such as dynamic, binary, and rearranged documents. It is also associated with undocumented and often zero features. The factor looks at any portion that has been marked as having the highest relevance (a header or meta keywords) and gives it points based on a 0.6 relevancy threshold, a linear weight function of 0.1, and a 0.1 ratio to use. The factor will
11
Factor { Index: 10 CppName: "FI_REMOVED_10" Name: "Removed_10" Tags: [TG_UNUSED]Factor { Index: 11 CppName: "FI_NEWS"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 10 CppName: "FI_REMOVED_10" Name: "Removed_10" Tags: [TG_UNUSED]Factor { Index: 11 CppName: "FI_NEWS"
Name: "News" Tags: [TG_NEWS] This code pertains to the Yandex Search Engine ranking factors. Specifically, it is focusing on two particular ranking factors, namely "Removed_10" and "News". The "Removed_10" rank factor indicates that certain content is removed from the index. This might mean that the content is deemed to be too low quality or to have an adverse effect on the search engine results. The "News" rank factor, on the other hand, indicates that the content has been identified as news and should be given a higher ranking in the results. The code assigns a specific number to each of these ranking factors (10 and 11, respectively). It also contains tags associated with each factor that can help the search engine identify each factor more quickly and accurately.
12
Factor { Index: 11 CppName: "FI_NEWS" Name: "News" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-3" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Это новости (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-3 паттернам в url`е)) )." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 11 CppName: "FI_NEWS" Name: "News" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-3" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Это новости (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-3 паттернам в url`е)) )." Authors: "gulin" Responsibles: "gulin"
} This code is about the Search Engine ranking factor called "News". It is used to determine the quality of a search engine by finding out if a search result is news or not. The "Tags" and "Description" as well as "Authors" and "Responsibles" refer to certain patterns found in the URL that are used to identify a news article.
13
Factor { Index: 12 CppName: "FI_SHOP" Name: "Shop" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Это магазин предложение (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4 паттернам в url`е)) ). Не используется (deprecated)" Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 12 CppName: "FI_SHOP" Name: "Shop" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Это магазин предложение (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4 паттернам в url`е)) ). Не используется (deprecated)" Authors: "gulin" Responsibles: "gulin"
Contacts: "gulin" } This code is about a Yandex Search Engine ranking factor. The factor earns a ranking index of 12 and is called FI_SHOP. It is also referred to as "Shop" and has an antisemitism upper bound of 1.0. The code includes a Wiki link as a reference, and a list of tags that include TG_HOST, TG_STATIC, TG_BINARY, TG_DEPRECATED and TG_OFTEN_ZERO. The description is in Russian and can be translated as "This is a shop offer (determined by characteristic ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-4 patterns in the URL))). It is
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Factor { Index: 13 CppName: "FI_CATALOG" Name: "Cat" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Это каталог (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2 паттернам в url`е)) или по яндекс-каталогу)." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 13 CppName: "FI_CATALOG" Name: "Cat" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Это каталог (определяется по характерным ((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2 паттернам в url`е)) или по яндекс-каталогу)." Authors: "gulin" Responsibles: "gulin"
Monitoring: True } This code is about the "catalog" ranking factor for the Yandex search engine. It is used to identify websites based on certain patterns of their URL ("http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-2”) or on whether they are included in Yandex’s catalog. The code also includes a number of tags ("TG_HOST", "TG_STATIC", "TG_BINARY", "TG_UNDOCUMENTED", "TG_OFTEN_ZERO", "TG_L2", "TG_NN_OVER_FEATURES_USE") that are used to determine the ranking of websites and monitor the rankings.
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Factor { Index: 14 CppName: "FI_YA_BAR" Name: "YaBar" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/YaBar" Tags: [TG_BROWSER, TG_HOST, TG_STATIC, TG_USER, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS, TG_USERFEAT] Description: "Посещаемость из Бара - ((http://wiki.yandex-team.ru/AndrejjKostjagin/YaBarLog/HostStat Описание данных)). Фактор ремапится." Authors: ["kostyagin", "somov"] Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 14 CppName: "FI_YA_BAR" Name: "YaBar" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/YaBar" Tags: [TG_BROWSER, TG_HOST, TG_STATIC, TG_USER, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS, TG_USERFEAT] Description: "Посещаемость из Бара - ((http://wiki.yandex-team.ru/AndrejjKostjagin/YaBarLog/HostStat Описание данных)). Фактор ремапится." Authors: ["kostyagin", "somov"] Responsibles: ["tarum", "niknik"]
} This code is about a search engine ranking factor that is specific to Yandex called YaBar. It takes into consideration things like website hosting, user activity, and usage of features on the website. It is based on a description provided by the authors of the website and is remapped accordingly. The upper bound of the AntiSeo is 1.0. This code outlines the components, tags, description, authors, and responsibilities related to the YaBar search engine ranking factor.
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Factor { Index: 15 CppName: "FI_LONG" Name: "Long" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длинный документ (чем длиннее документ, тем больше значение фактора)." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 15 CppName: "FI_LONG" Name: "Long" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длинный документ (чем длиннее документ, тем больше значение фактора)." Authors: "gulin" Responsibles: "gulin"
SourceId: "article_longer_than_8000_words" TargetId: "" Algorithm: "" HelpLink: "" ManualAllowed: "true" ManualScale: [0, 30] ManualWeight: 1 } This code is about the Long factor of the Yandex search engine ranking system. It is given a numerical value of 15 and tagged with several descriptors. The code is saying that the longer the document, the higher the value of this factor will be. The author of the factor is given as "gulin" and the factor is manually allowed, meaning it can be adjusted manually, as well as having a manual scale of 0 to 30 and a manual weight of 1. The source of the factor is listed as "article_longer_than_8000_words".
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Factor { Index: 16 CppName: "FI_HIT_WEIGHT" Name: "TRhitw" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "Hitweigt - вариант текстовой релевантности, в которой веса всех хитов считаются равными (т.е. не учитывают надбавки за title и за близость слов). При этом соответствующие хиты должны пройти ограничения синтаксического колдунщика, т.е. можно считать, что фактор TRhitw равен 0 тогда и только тогда, когда SoftAndOk равен 0" Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 16 CppName: "FI_HIT_WEIGHT" Name: "TRhitw" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "Hitweigt - вариант текстовой релевантности, в которой веса всех хитов считаются равными (т.е. не учитывают надбавки за title и за близость слов). При этом соответствующие хиты должны пройти ограничения синтаксического колдунщика, т.е. можно считать, что фактор TRhitw равен 0 тогда и только тогда, когда SoftAndOk равен 0" Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
Source: "Google" Comments: "" Reference: "" } This code contains information about the Yandex Search Engine's ranking factor, "Hitweigt". This factor assesses the relevance of a text by taking all hits into account equally (without taking title bonuses or the proximity of words into account). This factor can only be taken into account if it passes the Syntax Wizard's restrictions, meaning that its value will be equal to 0 in the event that SoftAndOk is also equal to 0. The code lists the index (16), CppName ("FI_HIT_WEIGHT"), Name ("TRhitw"), Group ("LegacyTR"), Tags ([TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_REARR_USE, TG_NN_OVER_FEATURES_USE]), a description of the factor, the authors, responsibles,
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Factor { Index: 17 CppName: "FI_LONG_QUERY" Name: "LongQuery" Group: "Query" Tags: [TG_QUERY_ONLY, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_L3_OVERWRITE, TG_NN_OVER_FEATURES_USE] Description: "Сумма idf слов запроса. Название не отражает суть: например, для запроса 'Гадяч' этот фактор будет больше, чем для запроса 'Москва Питер Екатеринбург Самара'." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 17 CppName: "FI_LONG_QUERY" Name: "LongQuery" Group: "Query" Tags: [TG_QUERY_ONLY, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_L3_OVERWRITE, TG_NN_OVER_FEATURES_USE] Description: "Сумма idf слов запроса. Название не отражает суть: например, для запроса 'Гадяч' этот фактор будет больше, чем для запроса 'Москва Питер Екатеринбург Самара'." Authors: "gulin" Responsibles: "gulin"
VersionCreate: 2020-08-03 10:11:00 VersionModify: 2020-08-03 10:11:01 WeightCorrectionMin: -20 WeightCorrectionMax: 20 Enabled: true } This code is about a ranking factor used by Yandex Search Engine. The code defines the factor as LongQuery, and assigns it to the Query Group. The description suggests that the factor is related to the sum of idf words of a query; for example, for the query 'Gadyach' this factor would be higher than for the query 'Moscow, St. Petersburg, Ekaterinburg, Samara'. The code also defines the tags related to the factor and assigns the authors and responsible people for its creation and modification, giving their names as gulin. The weight correction parameters and whether or not the factor is enabled are also provided.
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Factor { Index: 18 CppName: "FI_PURE_TEXT" Name: "PureText" Tags: [TG_BINARY, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/LongText" Description: "Длинный текст без ссылок." Authors: "leo" Responsibles: ["tsimkha", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 18 CppName: "FI_PURE_TEXT" Name: "PureText" Tags: [TG_BINARY, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/LongText" Description: "Длинный текст без ссылок." Authors: "leo" Responsibles: ["tsimkha", "leo"]
Roles: [PR_DEV, PR_DEV_CHECKING] TrainConditions: [tune_preprocessing, tune_intilla] Parameters: [min_text_len] Emphasis: [em_entities, em_ngrams] This code is about the PureText Yandex Search Engine Ranking factor. This factor looks at the length of the text without any links. This code is authored by leo and is responsible for the development and checking of the factor. This factor is focused on preprocessing and intilla tuning as well as parameters like min_text_len and emphasizing entities and ngrams.
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Factor { Index: 19 CppName: "FI_ROOT" Name: "Root" AntiSeoUpperBound: 1.0 Tags: [TG_BINARY, TG_DOC, TG_STATIC, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/Root" Description: "Это морда." Authors: "gulin" Responsibles: ["gulin", "tsimkha"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 19 CppName: "FI_ROOT" Name: "Root" AntiSeoUpperBound: 1.0 Tags: [TG_BINARY, TG_DOC, TG_STATIC, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/Root" Description: "Это морда." Authors: "gulin" Responsibles: ["gulin", "tsimkha"]
} This code is a part of a set of factors used in Yandex, a search engine by Yandex, for ranking websites. The factor is called "Root" and is given an index of 19. It also has a set of tags associated with it such as TG_BINARY, TG_DOC and TG_STATIC, which all refer to certain aspects of a website that could affect its ranking. The "Wiki" line provides a link to a website where more information can be found about this factor and the "Description" is a brief description of the factor in Russian. The "Authors" and "Responsibles" lines provide information on the people involved with implementing this factor.
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Factor { Index: 20 CppName: "FI_REMOVED_20" Name: "Removed20" Tags: [TG_UNUSED]# TODO(FACTORDEL-97): replace with TG_REMOVED, TG_REUSABLE and remove old formulasFactor { Index: 21
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 20 CppName: "FI_REMOVED_20" Name: "Removed20" Tags: [TG_UNUSED]# TODO(FACTORDEL-97): replace with TG_REMOVED, TG_REUSABLE and remove old formulasFactor { Index: 21
CppName: "FI_REMOVED_21" Name: "Removed21" Tags: [TG_UNUSED] } This code is about two search engine ranking factors that are marked as "removed". These ranking factors are indicated by the CppName "FI_REMOVED_20" and "FI_REMOVED_21". They have been tagged with the "TG_UNUSED" tag which indicates that they are no longer being used by Yandex's search engine. The code also indicates that these ranking factors are to be replaced with another tag called "TG_REMOVED" and "TG_REUSABLE" in the future. In plain English, this code is about two search engine ranking factors, specified by Yandex, that are no longer in use and are being marked as "removed". They are being replaced with new tags in the near future.
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Factor { Index: 21 CppName: "FI_REMOVED_21" Name: "Removed21" Tags: [TG_UNUSED]Factor { Index: 22 CppName: "FI_GEO"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 21 CppName: "FI_REMOVED_21" Name: "Removed21" Tags: [TG_UNUSED]Factor { Index: 22 CppName: "FI_GEO"
Name: "Geography" Tags: [TG_GOOGLE_YANDEX] This code is referring to Yandex Search Engine rankings factors. Specifically, it is talking about two factors, "Removed21" and "Geography". "Removed21" is an unused factor and therefore the tag "TG_UNUSED" has been added to it. On the other hand, "Geography" is a factor that is in use by both Google and Yandex, and the tag "TG_GOOGLE_YANDEX" is applied.
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Factor { Index: 22 CppName: "FI_GEO" Name: "Geo" Tags: [TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_HOST, TG_BINARY, TG_DEPRECATED, TG_UNDOCUMENTED, TG_OFTEN_ZERO] Description: "Означает совпадение региона пользователя и сайта на уровне стран. Фактор бинарный: 1-совпадает, 0-нет. Основан на ((http://wiki.yandex-team.ru/ЯндексПоиск/КлассификацияСайтовИСтраниц/Географическая/ИспользованиеВПоиске геоклассификации сайтов))" Authors: ["ark-kum", "gulin", "maslov"] Responsibles: ["ark-kum", "gulin", "maslov"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 22 CppName: "FI_GEO" Name: "Geo" Tags: [TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_HOST, TG_BINARY, TG_DEPRECATED, TG_UNDOCUMENTED, TG_OFTEN_ZERO] Description: "Означает совпадение региона пользователя и сайта на уровне стран. Фактор бинарный: 1-совпадает, 0-нет. Основан на ((http://wiki.yandex-team.ru/ЯндексПоиск/КлассификацияСайтовИСтраниц/Географическая/ИспользованиеВПоиске геоклассификации сайтов))" Authors: ["ark-kum", "gulin", "maslov"] Responsibles: ["ark-kum", "gulin", "maslov"]
Auditors: ["ark-kum", "maslov"] } This code is about a Yandex Search Engine ranking factor referred to as "FI_GEO". This ranking factor is based on whether or not the region of a user matches the region of the website they are searching or visiting. It is a binary factor which either has a value of 1 if the region matches or 0 if it does not. It is based upon the Yandex team geo classification of websites and is attributed to "ark-kum", "gulim" and "maslov". The responsible parties and auditors are also listed as "ark-kum", "gulin" and "maslov".
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Factor { Index: 23 CppName: "FI_SUBQUERY_THEME_MATCH" Name: "SubqueryThMatch" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "Совпадение тематических спектров запроса и документа. Тематика запроса - результат работы ((http://wiki.yandex-team.ru/EvgenijjKroxalev/subquery правила колдунщика SubquerySearch )) Тематика документа берется из яндекс-каталога" Authors: ["abokov", "ekrokhalev", "gulin"] Responsibles: ["gulin", "lamo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 23 CppName: "FI_SUBQUERY_THEME_MATCH" Name: "SubqueryThMatch" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "Совпадение тематических спектров запроса и документа. Тематика запроса - результат работы ((http://wiki.yandex-team.ru/EvgenijjKroxalev/subquery правила колдунщика SubquerySearch )) Тематика документа берется из яндекс-каталога" Authors: ["abokov", "ekrokhalev", "gulin"] Responsibles: ["gulin", "lamo"]
} This code is about the Yandex search engine ranking factors. It is about SubqueryThMatch which is the matching of the topical spectrums of the query and the document. The topical query is the result of the SubquerySearch rule, and the document's topical is taken from Yandex-catalog. The authors are "abokov", "ekrokhalev", and "gulin". The responsible are "gulin" and "lamo".
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Factor { Index: 24 CppName: "FI_SR" Name: "SR" Tags: [TG_DOC, TG_STATIC, TG_TRANS, TG_UNDOCUMENTED, TG_UNUSED] Description: "Сложносоставной static rank, собирается из статических компонентов по отдельной формуле((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/#oftnd1 *))." Authors: ["gulin", "somov"] Responsibles: ["gulin", "somov"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 24 CppName: "FI_SR" Name: "SR" Tags: [TG_DOC, TG_STATIC, TG_TRANS, TG_UNDOCUMENTED, TG_UNUSED] Description: "Сложносоставной static rank, собирается из статических компонентов по отдельной формуле((http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/#oftnd1 *))." Authors: ["gulin", "somov"] Responsibles: ["gulin", "somov"]
Created: 13.01.2012 LastUpdated: 07.03.2012 LastUpdatedBy: "gulin" } This code is about Yandex's search engine ranking factor, which is based on the static rank. This static rank is composed of static components and calculated using a separate formula. The authors of this code are gulin and somov and the code was created on 13.01.2012 and last updated on 07.03.2012.
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Factor { Index: 25 CppName: "FI_REFINES" Name: "TRref" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Фактор про число refines. В языке запросов есть фича user refines ('слово, перед которым стоит знак процентика'). По задумке это означает что-то вроде 'хорошо бы, чтобы слово в документе было'. Единственное известное ((http://staff.yandex-team.ru/gulin Андрей Гулин)) ценное использование данной фичи - это запрос [%официальный %сайт НазваниеФирмы]. Пользователям данная фича неизвестна, т.к. не описана ни в какой документации. Планируется, что она исчезнет из языка запросов, но в колдунщике слова с приоритетом USER_REFINE останутся. Фактор говорит о том, сколько максимум USER_REFINE-слов одновременно встречалось в рамках единого попадания в кворум. Считается, что их от 0 до 3 (если >3, то считается, что 3). Это число мапится в полуинтервал [0,1)" Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 25 CppName: "FI_REFINES" Name: "TRref" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Фактор про число refines. В языке запросов есть фича user refines ('слово, перед которым стоит знак процентика'). По задумке это означает что-то вроде 'хорошо бы, чтобы слово в документе было'. Единственное известное ((http://staff.yandex-team.ru/gulin Андрей Гулин)) ценное использование данной фичи - это запрос [%официальный %сайт НазваниеФирмы]. Пользователям данная фича неизвестна, т.к. не описана ни в какой документации. Планируется, что она исчезнет из языка запросов, но в колдунщике слова с приоритетом USER_REFINE останутся. Фактор говорит о том, сколько максимум USER_REFINE-слов одновременно встречалось в рамках единого попадания в кворум. Считается, что их от 0 до 3 (если >3, то считается, что 3). Это число мапится в полуинтервал [0,1)" Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
Define: ["0.0* std::min<double>(doc_words.user_refines.size(), 3.0) - 0.0*std::min<double>(doc_words.user_refines.size(), 3.0)**2.0", "0.0*doc_words.user_refines.size() > 0.0 ? std::min<double>(doc_words.user_refines.size(), 3.0) : 0.0"]} This code is about the Yandex Search Engine ranking factor FI_REFINES. It calculates the number of 'user refines' – a query feature that means the word should be in the document, but is not documented. It will range from 0 to 3, mapping to a semi-interval of [0,1). The authors and responsible authors of this code are "gulin" and "
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Factor { Index: 26 CppName: "FI_TR_BOOST" Name: "TRboost" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Число, на которое умножаются некоторые линковые факторы (именно, факторы номер 6, 7, 47, 66), если текстовая релевантность 0, и ссылок мало" Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 26 CppName: "FI_TR_BOOST" Name: "TRboost" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Число, на которое умножаются некоторые линковые факторы (именно, факторы номер 6, 7, 47, 66), если текстовая релевантность 0, и ссылок мало" Authors: "gulin" Responsibles: "gulin"
Priority: "Normal" Docs: "" Process: [PROC_TR_BOOST] } This code describes a factor called "TRboost" which is part of the "Dynamic" group. It is tagged with TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, and TG_NN_OVER_FEATURES_USE. The description states that the number of some link factors (6, 7, 47, 66 in particular) is multiplied if the text relevance is 0 and there are few links. The authors and responsible persons for this factor is "Gulin" and the priority is listed as "Normal". The process for this factor is PROC_TR_BOOST.
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Factor { Index: 27 CppName: "FI_TRLR_LEMMA" Name: "TRLRlemma" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE] Description: "В текстовой релевантности произошло совпадение леммы." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 27 CppName: "FI_TRLR_LEMMA" Name: "TRLRlemma" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE] Description: "В текстовой релевантности произошло совпадение леммы." Authors: ["gulin", "leo"] Responsibles: ["gulin", "leo"]
} This code is from Yandex Search Engine ranking factors. It suggests that the relevancy of text is dependant on the lemma (linguistics term meaning a 'lemma', or root form of several words) matching the search query. The code is tagged with several categories such as TG_DOC (text document), TG_DYNAMIC (updating regularly), TG_UNDOCUMENTED (unrecorded), and a few more. The authors and responsibles seem to be two people named Gulin and Leo.
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Factor { Index: 28 CppName: "FI_TRAFGRAPH_OUT_ALL_SHARE_D" Name: "TrafgraphOutAll_share_d" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, TG_NN_OVER_FEATURES_USE] Description: "Remapped mascot feature TrafgraphOutAll_share_d" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] ImplementationTime: "2020-09-30"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 28 CppName: "FI_TRAFGRAPH_OUT_ALL_SHARE_D" Name: "TrafgraphOutAll_share_d" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, TG_NN_OVER_FEATURES_USE] Description: "Remapped mascot feature TrafgraphOutAll_share_d" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] ImplementationTime: "2020-09-30"
DefinitionTime: "2020-09-10" Enabled: true } The code snippet discusses the ranking factors of Yandex Search Engine. The particular factor discussed in the code is called “FI_TRAFGRAPH_OUT_ALL_SHARE_D”. It is a remapped mascot feature called “TrafgraphOutAll_share_d”. It is related to “TG_OWNER”, “TG_STATIC”, “TG_OFTEN_ZERO”, “TG_COMMERCIAL”, and “TG_NN_OVER_FEATURES_USE”. The author of this particular factor is “bikulov” and the responsible persons are “bikulov” and “sdormidontov”. The implementation and definition time for this factor are “2020-
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Factor { Index: 29 CppName: "FI_RELEV_SENTS_DSSM" Name: "RelevSentsDssm" Tags: [TG_DYNAMIC, TG_DOC, TG_DOC_TEXT, TG_NEURAL, TG_NN_OVER_FEATURES_USE] Description: "Dssm модель, обучена на переформулировки, в документной части использует релевантные запросу предложения" UseArtifact: {Name: "DssmRelevSents" Ticket: "FACTOR-2259" Authors: ["padese"] Responsibles: ["padese"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 29 CppName: "FI_RELEV_SENTS_DSSM" Name: "RelevSentsDssm" Tags: [TG_DYNAMIC, TG_DOC, TG_DOC_TEXT, TG_NEURAL, TG_NN_OVER_FEATURES_USE] Description: "Dssm модель, обучена на переформулировки, в документной части использует релевантные запросу предложения" UseArtifact: {Name: "DssmRelevSents" Ticket: "FACTOR-2259" Authors: ["padese"] Responsibles: ["padese"]
TargetRun: 4: } Group: "Neural" AssignFactor: true } This code is about the Yandex Search Engine ranking factor known as RelevSentsDssm. It is a Dssm model (a neural network based document similarity model) that is trained on reformulations and uses relevant sentences to the query in the document part. It is a dynamic factor and uses neural net over features to use. The group it belongs to is 'Neural', and it must be assigned as a factor.
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Factor { Index: 30 CppName: "FI_FRESH_NEWS_DETECTOR_PREDICT" Name: "FreshNewsDetectorPredict" Ticket: "WEBFRESH-478" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_FRESHNESS_USE, TG_L2, TG_QUERY_DETECTOR_PREDICT, TG_UNUSED, TG_NOT_01] Description: "Значение детектора новостей, рассчитываемого в бегемоте. Всегда 0 при значении детектора меньше порога." Authors: ["alejes", "hygge"] Responsibles: ["alejes", "hygge"] MinValue: -3e+38
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 30 CppName: "FI_FRESH_NEWS_DETECTOR_PREDICT" Name: "FreshNewsDetectorPredict" Ticket: "WEBFRESH-478" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_FRESHNESS_USE, TG_L2, TG_QUERY_DETECTOR_PREDICT, TG_UNUSED, TG_NOT_01] Description: "Значение детектора новостей, рассчитываемого в бегемоте. Всегда 0 при значении детектора меньше порога." Authors: ["alejes", "hygge"] Responsibles: ["alejes", "hygge"] MinValue: -3e+38
MaxValue: 3e+38 DefaultValue: 3.4e-20 Step: 0 Tunabale: true DepreactedTunable: false } This code is about a ranking factor for Yandex Search Engine. The ranking factor is known as "FreshNewsDetectorPredict" and it is given the ticket number of "WEBFRESH-478". The factor is related to dynamic, query-only and user processes, along with L2, query detector predict and unused notifications. Its description states that the detector value is calculated in the beigemote and is always zero if the detector value is smaller than the threshold. It is authored by alejes and hygge, who are also the responsible parties. The minimum value is -3e+38, the maximum value is 3e+38 and the default value is 3.4e-20. It is tunable with a step
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Factor { Index: 31 CppName: "FI_HIT_NUM_100" Name: "LRHitNum100" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Преобразованное количество слов запроса во всех линках url`а." Authors: "leshch" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 31 CppName: "FI_HIT_NUM_100" Name: "LRHitNum100" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Преобразованное количество слов запроса во всех линках url`а." Authors: "leshch" Responsibles: "alsafr"
LastChangeTime: "{2020, 4, 15}" This code is about the Yandex search engine ranking factors. It is referring to "FI_HIT_NUM_100", which is called "LegacyLR". This ranking factor takes into account the number of words that appear in all of the links in the URL. It was created by "leshch" and is maintained by "alsafr". The data was last updated on April 15, 2020. The tags associated with this factor are TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED and TG_DEPRECATED. This ranking factor is given an index value of 31.
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Factor { Index: 32 CppName: "FI_HIT_NUM_GT_16" Name: "LRHitNumGt16" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "У документа LR>20 количество вхождение слов запроса в линках > 16, фактор про LR." Authors: "leshch" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 32 CppName: "FI_HIT_NUM_GT_16" Name: "LRHitNumGt16" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "У документа LR>20 количество вхождение слов запроса в линках > 16, фактор про LR." Authors: "leshch" Responsibles: "alsafr"
Abbreviation: "LR GN 16" SuggestedWeight: 2 This code is an example of Yandex Search Engine ranking factor. It is related to the query results of the search engine and indicates that there should be more than 16 words related to the query in the links of the document in order for it to be prioritized in the search engine's results. The authors of this factor are "leshch" and "alsafr" and the suggested weight for it is 2.
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Factor { Index: 33 CppName: "FI_PCT_LINKS" Name: "PctLinks" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Для документов с высокой LR - нормированная линковая релевантность без учета близости, для документов с низкой LR 0" Authors: "leshch" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 33 CppName: "FI_PCT_LINKS" Name: "PctLinks" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Для документов с высокой LR - нормированная линковая релевантность без учета близости, для документов с низкой LR 0" Authors: "leshch" Responsibles: "alsafr"
Status: "stable" } This code describes the "PctLinks" factor for Yandex search engine ranking. This factor looks at how relevant the links are for documents with a high LR (LR is not identified here). Non-relevant links for documents with a low LR are given a score of 0. It is based off of "LegacyLR" and is associated with the tags of TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED and TG_DEPRECATED. It is authored by "leshch" and the update status is "stable".
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Factor { Index: 34 CppName: "FI_HAS_LR" Name: "HasLR" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Url высокую LR." Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 34 CppName: "FI_HAS_LR" Name: "HasLR" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Url высокую LR." Authors: "denplusplus" Responsibles: "alsafr"
Parents: [] ContainerOrFunctional: "Functional" Version: 1 Data: { Type: "struct", Float: 0.5} } The code is about a search engine ranking factor called "HasLR". It is a legacy link related factor and is used for URLs with a high LR. The data type for it is a structure and its value is 0.5. It is created by denplusplus and is maintained by alsafr. The code also mentions tags such as TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED TG_OFTEN_ZERO and TG_DEPRECATED. These tags indicate the type of unstructured data that the ranking factor can analyze.
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Factor { Index: 35 CppName: "FI_LINK_QUALITY" Name: "LinkQuality" Tags: [TG_DOC, TG_LINK_TEXT, TG_STATIC, TG_DEPRECATED, TG_L2] Description: "Качество входящих ссылок (классификатор Лещинера) - сломан, см [405]" Authors: "leshch" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 35 CppName: "FI_LINK_QUALITY" Name: "LinkQuality" Tags: [TG_DOC, TG_LINK_TEXT, TG_STATIC, TG_DEPRECATED, TG_L2] Description: "Качество входящих ссылок (классификатор Лещинера) - сломан, см [405]" Authors: "leshch" Responsibles: "alsafr"
Complexity: 3 CalculationType: NONE } This code is about a ranking factor called "LinkQuality" and is part of the Yandex Search Engine. This factor is related to the quality of incoming links to a page, classified by Leshchiner, and is broken, as per reference 405. This factor was developed by "leshch" and is currently maintained by "alsafr". It has a complexity level of 3, and does not require any calculation to be performed.
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Factor { Index: 36 CppName: "FI_ALICE_MUSIC_TRACK_TITLE_COSINE_MATCH_MAX_PREDICTION" Name: "AliceMusicTrackTitleCosineMatchMaxPrediction" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ALICE_MUSIC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора CosineMatchMaxPrediction для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 36 CppName: "FI_ALICE_MUSIC_TRACK_TITLE_COSINE_MATCH_MAX_PREDICTION" Name: "AliceMusicTrackTitleCosineMatchMaxPrediction" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ALICE_MUSIC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора CosineMatchMaxPrediction для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]
Input: [url] Output: {predictorCosineMatchMaxPrediction}_[temp_keys] DocIndex: 55.0 IsActive: True IsMandatory: True IsForUser: True TestOnGroup: False TestSignificance: 0.16 PercentileMax: 0.16 Distribution: N{Mean: 0.002781, Sigma: 0.013090, Alpha: 0.800000, Beta: 0.800000, Lambda: 0.125000} MinGood: 0.000050 Orders: {CosineMatchMaxPrediction_factors_position} Range: [0.000000, 0.400000] LogLevel: info Medium: 4 } This code is about a ranking factor called AliceMusicTrackTitleCosineMatchMaxPrediction
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Factor { Index: 37 CppName: "FI_NUM_LINKS" Name: "NumLinks" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/NumLinks" Tags: [TG_DOC, TG_LINK_GRAPH, TG_STATIC, TG_L2, TG_UNUSED] Description: "Число входящих ссылок. Ремапится." Responsibles: ["tsimkha", "alsafr"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 37 CppName: "FI_NUM_LINKS" Name: "NumLinks" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/NumLinks" Tags: [TG_DOC, TG_LINK_GRAPH, TG_STATIC, TG_L2, TG_UNUSED] Description: "Число входящих ссылок. Ремапится." Responsibles: ["tsimkha", "alsafr"]
} This code is about the Yandex search engine ranking factor "NumLinks", which indicates the number of incoming links. It is part of the web page ranking factors, and is mapped. The responsible persons for this factor are "tsimkha" and "alsafr".
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Factor { Index: 38 CppName: "FI_POPULAR_Q" Name: "PopularQ" DependsOn: [{Feature: ["PopularQ"], Slice: "begemot_query_factors" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_REARR_USE, TG_L2, TG_DEPRECATED] Group: "Query" Description: "Популярность запроса" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/PopularQ" Authors: "denplusplus"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 38 CppName: "FI_POPULAR_Q" Name: "PopularQ" DependsOn: [{Feature: ["PopularQ"], Slice: "begemot_query_factors" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_REARR_USE, TG_L2, TG_DEPRECATED] Group: "Query" Description: "Популярность запроса" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/PopularQ" Authors: "denplusplus"
Source: "" Scope: query SearchInteraction: false MinutesCache: 360 DefaultWeight: 0.3 DefaultIterations: 2 Shortcut: popq ActivationType: filter LogIterations: false CaseSensitivity: true IterationsOptions: List[Int] HandledTypes: Nothing Parameters: List() Weightable: true} This code is about a search engine ranking factor called PopularQ. It increases the position of query results based on their popularity. It is used in the Yandex search engine and gives a score of 38. It can be adjusted using different parameters, and can be used as part of a filter. It has a cache time of 360 minutes, a default weight of 0.3, and a default number of iterations of 2. It is case-sensitive and handles all types.
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Factor { Index: 39 CppName: "FI_TR_UNMAPPED" Name: "TRUnmapped" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "TR деленный на куб количества слов в запросе и преобразованный стандартным remapTR." Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 39 CppName: "FI_TR_UNMAPPED" Name: "TRUnmapped" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "TR деленный на куб количества слов в запросе и преобразованный стандартным remapTR." Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"]
UsedInQueries: true UsedInRanking: true UsedInSnippetGen: true UsedInLinkAnalysis: false ParametersId: 10 DefaultWeight: 0.48 } The above code is about how Yandex search engine determines its ranking when a query is made. The code is written in Russian which translates to "TR divided by the cube of the number of words in the query and remapped with standard remapTR." It is part of the LegacyTR group and is tagged with TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED and TG_NN_OVER_FEATURES_USE. It has authors denplusplus and gulin, and responsible persons alsafr and gulin. It is used in queries, ranking and snippet generation, but not in link analysis. Its parameters IDs are 10 and the default weight is 0.48.
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Factor { Index: 40 CppName: "FI_RUS_LANG" Name: "RusLang" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Язык документа - русский." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 40 CppName: "FI_RUS_LANG" Name: "RusLang" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Язык документа - русский." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
@Flags: FI_RUS_RATING | FI_RUS_OVER_FEATURES_USE } This code is referring to a factor that is used to determine the Search Engine ranking of Yandex. It is a factor that checks the language of the document and whether it is Russian. It also checks the features used in the document and how they are used compared to features used in other documents. The authors of this factor are aalekseev and denplusplus, and the person responsible for it is alsafr. The flags used to determine its ranking are FI_RUS_RATING and FI_RUS_OVER_FEATURES_USE.
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Factor { Index: 41 CppName: "FI_ADD_TIME" Name: "AddTime" Tags: [TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Время добавления страницы, больше - более старый документ; кладется корень из времени, отображенный на интервал [0,1] так, чтобы 3+ года давало 1." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 41 CppName: "FI_ADD_TIME" Name: "AddTime" Tags: [TG_DATE, TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Время добавления страницы, больше - более старый документ; кладется корень из времени, отображенный на интервал [0,1] так, чтобы 3+ года давало 1." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
} This code is about one of the ranking factors used by Yandex Search Engine. The factor is known as "AddTime", and it is used to measure the age of a document. The tags associated with the factor are TG_DATE, TG_DOC, and so on. The description is that the time of adding the page (measured in days) is converted into a number between 0 and 1, where 1 is the older document. The authors of the factor are aalekseev and denplusplus and the responsible person is alsafr.
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Factor { Index: 42 CppName: "FI_IS_MAIN_PAGE" Name: "IsMainPage" Tags: [TG_DOC, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Если главная страница владельца (чаще всего домен второго уровня, например xxxx.ru), то фактор равен 1. Для бомжатников, хостингов, личных блогов и т.д. (например, лайфджорнал, народ.ру и пр.) - домены третьего уровня (типа xxxxx.narod.ru) так же будут иметь фактор равный 1." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 42 CppName: "FI_IS_MAIN_PAGE" Name: "IsMainPage" Tags: [TG_DOC, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Если главная страница владельца (чаще всего домен второго уровня, например xxxx.ru), то фактор равен 1. Для бомжатников, хостингов, личных блогов и т.д. (например, лайфджорнал, народ.ру и пр.) - домены третьего уровня (типа xxxxx.narod.ru) так же будут иметь фактор равный 1." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
Enabled: true GetIsMainPageCount: 0 GDS: true AffectedByGDS: false } The Yandex search engine ranking factor "IsMainPage" has a value of 42. It applies to documents, static files, binary files, documents with an unclear purpose, undocumented files, files with often zero values, L2 files and files with neural networks. If the main page of the owner (usually a second-level domain, e.g., xxxx.ru) then the factor is equal to 1. For homeless people, hosting services, personal blogs etc., (e.g., lifenote, narod.ru) domains of the third level (like xxxxx.narod.ru) will also have a factor equal to 1. The authors of this factor are "aalekseev" and "denplusplus" and the responsible is "alsafr". This factor is enabled and the
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Factor { Index: 43 CppName: "FI_ADD_TIME_MP" Name: "AddTimeMP" AntiSeoUpperBound: 1.0 Tags: [TG_DATE, TG_HOST, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Время добавления главной страницы владельца (хоста?), ремапится так же, как AddTime." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 43 CppName: "FI_ADD_TIME_MP" Name: "AddTimeMP" AntiSeoUpperBound: 1.0 Tags: [TG_DATE, TG_HOST, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Время добавления главной страницы владельца (хоста?), ремапится так же, как AddTime." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
} This code is about an index ranking factor for the Yandex search engine. The factor is named FI_ADD_TIME_MP, with a 'name' of AddTimeMP, and an upperbound of 1.0. The factor has associated tags such as TG_DATE, TG_HOST, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, and TG_NN_OVER_FEATURES_USE. The description of this factor is "The time of the addition of the owner's main page (host?), is remapped the same way as AddTime". The authors of this factor are "aalekseev" and "denplusplus" and it is the responsibility of "alsafr".
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Factor { Index: 44 CppName: "FI_ALICE_MUSIC_TRACK_TITLE_ANNOTATION_MAX_VALUE_WEIGHTED" Name: "AliceMusicTrackTitleAnnotationMaxValueWeighted" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ALICE_MUSIC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора AnnotationMaxValueWeighted для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 44 CppName: "FI_ALICE_MUSIC_TRACK_TITLE_ANNOTATION_MAX_VALUE_WEIGHTED" Name: "AliceMusicTrackTitleAnnotationMaxValueWeighted" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ALICE_MUSIC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора AnnotationMaxValueWeighted для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]
States_az: "" States_ru: "корректируется" States: [{ State: ST_ENABLED, Condition: EC_INCLUDEALLHOSTS }] Reindex: true Recommission: true RankOp: OROP_ADD_EDGE Note: "" Type: FTV_FLOAT Parameters: [{ Name: "Weight", Value: 0.4, DefaultValue: 0.4, MinValue: 0.1, MaxValue: 4 }] } This code is about a Yandex search engine ranking factor called "AliceMusicTrackTitleAnnotationMaxValueWeighted". It is a factor that adjusts the quality of a stream on AliceMusic. "Weight" is a parameter that can be set between 0.1 and 4, with 0.4 as the default
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Factor { Index: 45 CppName: "FI_URL_CLICKS_PCTR" Name: "QueryURLClicksPCTR" AntiSeoUpperBound: 0.6 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Насколько часто кликают в данный URL по данному запросу - CTR домноженный на поправочный коэффициент" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["akhropov", "solar"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 45 CppName: "FI_URL_CLICKS_PCTR" Name: "QueryURLClicksPCTR" AntiSeoUpperBound: 0.6 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Насколько часто кликают в данный URL по данному запросу - CTR домноженный на поправочный коэффициент" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["akhropov", "solar"]
} This code is about a search engine ranking factor used by Yandex known as Queryurldownerclickspctrfrccomboreg. It is designed to measure how often a URL is clicked for a specific query - the click-through rate (CTR) multiplied by a correction factor. The search engine uses other tags such as TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA
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Factor { Index: 46 CppName: "FI_TEXT_BM25" Name: "TextBM25" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Простой BM25 по тексту." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 46 CppName: "FI_TEXT_BM25" Name: "TextBM25" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Простой BM25 по тексту." Authors: "gulin" Responsibles: "gulin"
Reference: "" Assignee: "none" Priority: "normal" } This code is about the Yandex Search Engine ranking factor ‘TextBM25’. It is a simple BM25 based on text. It is associated with the tags TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2 and TG_NN_OVER_FEATURES_USE, with authors and responsibilities attributed to ‘gulin’. The priority has been assigned as ‘normal’. BM25 is a ranking factor used to score how relevant a website is to a particular search query. It is based on the frequency of words in a web page relative to the total number of words in the web page. The higher the score, the more relevant the web page is.
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Factor { Index: 47 CppName: "FI_LINK_BM25" Name: "LinkBM25" Group: ["LinkBM25", "Dynamic"] Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Простой BM25 по линкам, веса линков не учитываются." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 47 CppName: "FI_LINK_BM25" Name: "LinkBM25" Group: ["LinkBM25", "Dynamic"] Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Простой BM25 по линкам, веса линков не учитываются." Authors: "gulin" Responsibles: "gulin"
RankerName: "ranker_link_bm25" Dependencies: ["l_text_rank", "link_idf", "link_bm25_level", "link_bm25_facts_weight", "link_rem_dublicates", "link_title_prefix_weight", "l_title_prefix_weight", "link_title_weight", "link_bm25_extractor_weight", "link_position_change", "link_text_weight", "link_importance_weight", "link_bm25_weight", "doc_features_weight", "query_features_weight", "bing_weight", "sum_weights_norm", "factor_within_field"] CodeRefs: ["external/Yandex/src/Ranker/Index/RankerFEF.cpp"]} This code is about the Yandex Search Engine and its
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Factor { Index: 48 CppName: "FI_TLBM25" Name: "TLBM25" Group: "TextAndLinkBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "Простой BM25 по тексту и линкам одновременно." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 48 CppName: "FI_TLBM25" Name: "TLBM25" Group: "TextAndLinkBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "Простой BM25 по тексту и линкам одновременно." Authors: "gulin" Responsibles: "gulin"
} This code is about a search engine ranking factor called TLBM25 or Text and Link BM25. It is a simple BM25 based on both text and links. This ranking factor is related to documents, the text of the documents, dynamic elements, link text and undocumented elements. The author of this factor is gulin and they are responsible for it.
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Factor { Index: 49 CppName: "FI_TLP1" Name: "TLp1" Group: "TextAndLinkBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "Все слова запроса есть в тексте + линках." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 49 CppName: "FI_TLP1" Name: "TLp1" Group: "TextAndLinkBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "Все слова запроса есть в тексте + линках." Authors: "gulin" Responsibles: "gulin"
Links: [LK_CLASSICAL] Formulas: "Bm25CS DOCS; Bm25CS NODES; UniCSW DOCS PDIV1" Flags: [ FLG_2_MIX, FLG_2_MIX_TC ] } This code is about a search engine ranking factor called TLp1 (Text and Link BM25). The factor takes into account all words included in a query, as well as links between documents and nodes. A formula combining Bm25CS DOCS, Bm25CS NODES and UniCSW DOCS PDIV1 is used and the Flags FLG_2_MIX and FLG_2_MIX_TC are applied. The authors and responsible for the factor are identified as 'gulin' and the Links used are the classical ones.
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Factor { Index: 50 CppName: "FI_ADV" Name: "Adv" Tags: [TG_OWNER, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "На сайте есть реклама." Authors: ["aalekseev", "denplusplus"] Responsibles: ["sisoid", "alsafr"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 50 CppName: "FI_ADV" Name: "Adv" Tags: [TG_OWNER, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "На сайте есть реклама." Authors: ["aalekseev", "denplusplus"] Responsibles: ["sisoid", "alsafr"]
Parameters: [{"Name": "FN_Weight", "Type": "float", "Value": 0.5}] Formula: "SUM(<SN_Revenue> * <FE_Weight> / 100) * <FN_Weight>" This code is about the Yandex Search Engine ranking factors. It specifies the feature “Adv” with a weight of 50 and the associated tags of TG_OWNER, TG_STATIC, TG_BINARY, TG_DEPRECATED and TG_OFTEN_ZERO. The description of the feature states that “there is advertising on the website” and the authors are aalekseev and denplusplus with sisoid and alsafr as the responsible parties. The parameters listed are FN_Weight with a type of float and a value of 0.5, while the formula associated with the feature is “SUM(<SN
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Factor { Index: 51 CppName: "FI_YANDEX_ADV" Name: "YandexAdv" AntiSeoUpperBound: 1.0 Tags: [TG_OWNER, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "На сайте есть реклама Яндекса." Authors: ["aalekseev", "denplusplus"] Responsibles: ["sisoid", "alsafr"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 51 CppName: "FI_YANDEX_ADV" Name: "YandexAdv" AntiSeoUpperBound: 1.0 Tags: [TG_OWNER, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "На сайте есть реклама Яндекса." Authors: ["aalekseev", "denplusplus"] Responsibles: ["sisoid", "alsafr"]
RelatedFactors: [SY_YANDEX_TOPICS] Applies: SE_YANDEX } This code is about a search engine ranking factor called YandexAdv relevant to Yandex. It has a value of 51 and carries different tags including TG_OWNER, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_DEPRECATED, and TG_OFTEN_ZERO. Its description states that there is Yandex advertising present on the website. It has authors aalekseev and denplusplus and responsibles sisoid and alsafr. It is related to the factor SY_YANDEX_TOPICS and applies to the search engine Yandex.
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Factor { Index: 52 CppName: "FI_NO_SPAM" Name: "NoSpam" AntiSeoUpperBound: 1.0 Tags: [TG_OWNER, TG_STATIC, TG_THEME_CLASSIF, TG_REARR_USE, TG_DEPRECATED] Description: "Классификатор спама по фичам из антиспама признал сайт НЕ(!) спамом. Т.е. 0=спам, 1=хороший." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 52 CppName: "FI_NO_SPAM" Name: "NoSpam" AntiSeoUpperBound: 1.0 Tags: [TG_OWNER, TG_STATIC, TG_THEME_CLASSIF, TG_REARR_USE, TG_DEPRECATED] Description: "Классификатор спама по фичам из антиспама признал сайт НЕ(!) спамом. Т.е. 0=спам, 1=хороший." Authors: ["aalekseev", "denplusplus"] Responsibles: "alsafr"
} This code shows a search engine ranking factor for Yandex, named FI_NO_SPAM. The goal of this factor is to determine if a website is considered to be spam or not: 0 is considered as spam and 1 is considered as good. It uses several tags, such as TG_OWNER, TG_STATIC, TG_THEME_CLASSIF, TG_REARR_USE, and TG_DEPRECATED, to do this analysis and has been developed by authors aalekseev and denplusplus, with alsafr being the responsible person. The AntiSeoUpperBound for this factor is 1.0, meaning it has a maximum value of 1, and its index is 52.
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Factor { Index: 53 CppName: "FI_TEXT_PAIR" Name: "TxtPair" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Простой BM25 по парам слов - берем все пары слов запроса и считаем число их вхождений в текст документа. В качества веса пары используем сумму весов слов. Комм Не работает, если в запросе есть стоп-слово" Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 53 CppName: "FI_TEXT_PAIR" Name: "TxtPair" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Простой BM25 по парам слов - берем все пары слов запроса и считаем число их вхождений в текст документа. В качества веса пары используем сумму весов слов. Комм Не работает, если в запросе есть стоп-слово" Authors: "gulin" Responsibles: "gulin"
Formula: "sum(wi*sum(wj)), wi,wj- weights of query words in pair, wi- weight of first word in query pair, wj-weight of second word in query pair" } This code is referencing a search engine ranking factor called TextBM25/TxtPair. This factor measures the number of word pairs in a search query that coincide with the text in the document. The weight of each of those pairs is calculated by the sum of weights of the words in the pair. This factor may not work if the search query contains a stop-word.
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Factor { Index: 54 CppName: "FI_LINK_PAIR" Name: "LnkPair" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "То же, что TxtPair, но для линков; веса линков не учитываются." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 54 CppName: "FI_LINK_PAIR" Name: "LnkPair" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "То же, что TxtPair, но для линков; веса линков не учитываются." Authors: "gulin" Responsibles: "gulin"
Weight: 0.100 Settings: [] Databases: [Listing] DisplayName: "LinkPair" DisplayOrder: 2100 DefaultWeight: 6.50 DefaultSettings: "" Icon: "" HelpText: "" EnAbled: yes } This code describes a Yandex Search Engine ranking factor called "LnkPair". It is part of the "LinkBM25" group and is involved with documents, dynamics, link text, undocumented, L2 and deprecated functions. The description states that it is the same as TxtPair, but for links and weights of links are not taken into account. It has a weight of 0.1 and appears in the "Listing" databases. It is enabled and has a default weight of 6.5.
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Factor { Index: 55 CppName: "FI_TEXT_BREAK" Name: "TxtBreak" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 от количества предложений в документе, в которых встречается." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 55 CppName: "FI_TEXT_BREAK" Name: "TxtBreak" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 от количества предложений в документе, в которых встречается." Authors: "gulin" Responsibles: "gulin"
Date: "2020-01-15" Code: (see below) } The code refers to Yandex Search Engine ranking factors. It is about a feature called FI_TEXT_BREAK (TxtBreak) which is part of the TextBM25 group. It has a variety of tags associated with it, such as TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2 and TG_NN_OVER_FEATURES_USE. The description states that it is a BM25 from the number of sentences in the document which it appears in. This factor was created by the author "gulin" and the date of creation was "2020-01-15".
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Factor { Index: 56 CppName: "FI_TEXT_HEAD" Name: "TxtHead" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 по словам только в заголовке." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 56 CppName: "FI_TEXT_HEAD" Name: "TxtHead" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 по словам только в заголовке." Authors: "gulin" Responsibles: "gulin"
Date: 20 Dec 2013 Weight: 3 Limit: N/A Delay: 0 Type: factor PerformingFunc: "fi_text_head" Comment: "При высоком значение, документ содержит много искомых слов в заголовке." Google: N/A } This code is about a factor referred to as FI_TEXT_HEAD which gives websites a ranking based on how many keywords appear in the header of the page. This factor is part of the Yandex search engine and has been developed by an individual referred to as gulin. It is a Text
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Factor { Index: 57 CppName: "FI_TEXT_HI_RELEV" Name: "TxtHiRel" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 по словам только с high rel-битиками ('значимым', с выделением (<b> итп))." Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 57 CppName: "FI_TEXT_HI_RELEV" Name: "TxtHiRel" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 по словам только с high rel-битиками ('значимым', с выделением (<b> итп))." Authors: "gulin" Responsibles: "gulin"
NeedsAnalyze: true HasVerifier: false Sources: [{SourceType: Y, Url: "//.../slangs.cpp"}] This code describes a ranking factor used by Yandex, a Russian search engine. The factor is called "FI_TEXT_HI_RELEV" or "TxtHiRel" and it falls under the category of "TextBM25". It is used to improve the relevance of search results by examining the words used in the searches with "high rel-bitikas" (words with emphasis, such as "<b>"). It was developed by "gulin" and does not require an analysis. The code is supported in a source file called "slangs.cpp".
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Factor { Index: 58 CppName: "FI_REMOVED_58" Name: "Removed_58" Tags: [TG_UNUSED]Factor { Index: 59 CppName: "FI_WORD_COUNT"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 58 CppName: "FI_REMOVED_58" Name: "Removed_58" Tags: [TG_UNUSED]Factor { Index: 59 CppName: "FI_WORD_COUNT"
Name: "Word count" Tags: [TG_SEO, TG_Yandex_ONLY] This code is about the Yandex Search Engine Ranking Factors. The Index refers to the order of importance that the factor is given. The CppName and Name reference to a specific factor - in this case the FI_REMOVED_58 and the Word Count. Tags reference which groups the factor belongs to - for example the TG_UNUSED and the TG_SEO, TG_Yandex_ONLY. The factor removed_58 is not used in the Yandex ranking factors, while the Word Count factor is part of the SEO and Yandex ranking factors.
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Factor { Index: 59 CppName: "FI_WORD_COUNT" Name: "WordCount" Group: "Query" Tags: [TG_QUERY_ONLY, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Min(число слов запроса/10, 1.f)" Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 59 CppName: "FI_WORD_COUNT" Name: "WordCount" Group: "Query" Tags: [TG_QUERY_ONLY, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Min(число слов запроса/10, 1.f)" Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"]
Language: "ru" Examples: ["Сбербанка", "Central Bank", "Центральный Банк России"] Results: "банк россии" } This code is about one of Yandex Search Engine's ranking factors called "WordCount". It is a dynamic factor, meaning that it operates on queries as they happen, and whether its visible in documentation or not, it has a loose level two status and makes use of neural networks and features. The formula being applied is the minimum of either the number of words in the query divided by 10, or 1. This factor was developed by "denplusplus" and "gulin" and is maintained by "alsafr" and "gulin". This factor is in the Russian language, and to illustrate
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Factor { Index: 60 CppName: "FI_INV_WORD_COUNT" Name: "InvWordCount" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "1 / количество_слов_в_запросе." Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 60 CppName: "FI_INV_WORD_COUNT" Name: "InvWordCount" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "1 / количество_слов_в_запросе." Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"]
Version: "P_INV_WORD_COUNT_20100114" RefreshType: RT_CYCLE RefreshArg: 86400 Year: 2010 Portions: 250 BoostCoeff: 0.6 } This code is a search engine ranking factor used by Yandex. It determines the query's ranking by calculating the inverse of the number of words in the query, which is the numerical value of 60. The Group suggests this to be used with the Query, while the Tags further specify that this allows a dynamic, query-only rearrangement and has some levels of undocumented use. The Description explains that this factor is 1 divided by the total number of words in the query. This factor was developed by denplusplus and gulin, and is supervised by alsafr and gulin as well. This factor was updated on the 14th of January, 2010, and is updated every
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Factor { Index: 61 CppName: "FI_HAS_NO_TR" Name: "HasNoTR" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "У документа нет TR." Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"] CanonicalValue: 1.0
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 61 CppName: "FI_HAS_NO_TR" Name: "HasNoTR" Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "У документа нет TR." Authors: ["denplusplus", "gulin"] Responsibles: ["alsafr", "gulin"] CanonicalValue: 1.0
Attention: 0.8 Adjustment: [0.0, 0.75, 1.15, 1.0] DetailDescription: "Фактор говорит о том, есть ли у документа TR или нет. TR - система, которая распознаёт документ и рассчитывает значение фактора по уникальной формуле." } This code is about a Yandex Search Engine ranking
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Factor { Index: 62 CppName: "FI_HAS_NO_LR" Name: "HasNoLR" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "У документа нет LR." Authors: ["denplusplus", "gulin"] Responsibles: ["gulin", "alsafr"] CanonicalValue: 1.0
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 62 CppName: "FI_HAS_NO_LR" Name: "HasNoLR" Group: "LegacyLR" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "У документа нет LR." Authors: ["denplusplus", "gulin"] Responsibles: ["gulin", "alsafr"] CanonicalValue: 1.0
WeightDefault: 0.15 WeightAuto: 0.0 WeightManual: 0.0 Weight: 0.2 IsEnabledDefault: true IsEnabledAuto: false IsEnabledManual: false IsEnabled: true IsScoreEnabledDefault: true IsScoreEnabledAuto: false IsScoreEnabledManual: false IsScoreEnabled: true GoogleMapping: 0 Comment: "N/A" LastModified: Mon Feb 24 08:37:37 2020 } This code is about one of the ranking factors for Yandex Search Engine. This factor is called "HasNoLR" and it is primarily used for documents. It is given a weight of 0.2 and is enabled by default. This ranking factor is related to the presence of LR (LegacyLR) in a document. This factor indicates if
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Factor { Index: 63 CppName: "FI_HAS_NO_QUERY_URL_SHOWS" Name: "HasNoQueryURLShows" AntiSeoUpperBound: 1.0 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_BINARY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Для данного урла для данного запроса нет информации о кликабельности 1 - запроса или запроса-urla нет в базе кликов, 0 - запрос-url есть в базе кликов" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#hasnoqueryurldownershows" Authors: ["denplusplus", "kostyagin"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 63 CppName: "FI_HAS_NO_QUERY_URL_SHOWS" Name: "HasNoQueryURLShows" AntiSeoUpperBound: 1.0 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_BINARY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Для данного урла для данного запроса нет информации о кликабельности 1 - запроса или запроса-urla нет в базе кликов, 0 - запрос-url есть в базе кликов" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#hasnoqueryurldownershows" Authors: ["denplusplus", "kostyagin"]
Formula: { IsKclGivenByMRate: 10 IsKclGivenByMPlusHQuery: 8 IsKclGivenByMPlusHUrlQuery: 6 IsKclGivenByMPlusHUrl: 4 IsKclGivenByMPlusHRank: 2 IsKclGivenByMRateMPlusH: 1 HasNoQueryURLShows: 0 } } This code is about a search engine ranking factor (named 'HasNoQueryURLShows'). It takes into account whether or not a query or a query-url has information about its clickability in the click database. A value of 1 is assigned if neither a query nor a query-url is in the click database, and a value of 0 is assigned if a query-url is in the click database. This factor is applicable in the countries that are relevant and it is calculated by a formula specified in the code.
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Factor { Index: 64 CppName: "FI_HAS_NO_QUERY_SHOWS" Name: "HasNoQueryShows" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_BINARY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Для данного запроса нет информации о кликабельности 1 - запроса нет в базе кликов, 0 - запрос есть в базе кликов." Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#hasnoqueryshows" Authors: ["denplusplus", "kostyagin", "akhropov"] Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 64 CppName: "FI_HAS_NO_QUERY_SHOWS" Name: "HasNoQueryShows" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_BINARY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Для данного запроса нет информации о кликабельности 1 - запроса нет в базе кликов, 0 - запрос есть в базе кликов." Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#hasnoqueryshows" Authors: ["denplusplus", "kostyagin", "akhropov"] Responsibles: ["tarum", "niknik"]
} This code from the Yandex Search Engine ranking factors is about a variable called "HasNoQueryShows", which is used in the relevance calculation for a query. The variable will be set to 1 if there is no information about clickability for the query in the database, and 0 if the query is in the database. It is applicable to queries from specific countries. It is a dynamic and query-only factor, as well as localized to a specific country and user-dependent. It also relates to user search, external data, binary search, often-zero searches, user features, clicks, and shows. The code is authored by denplusplus, kostyagin, and akhropov, and is responsible by tarum and niknik.
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Factor { Index: 65 CppName: "FI_HOPS" Name: "Hops" Tags: [TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Количество хопов урла в обходе (типа меньше - ближе к морде, тем меньше значение (0 - морда, 1 - с морды добраться нельзя, 0 < можно добраться с морды < 1). Нормальное значение для корня носта 0.0039)." Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 65 CppName: "FI_HOPS" Name: "Hops" Tags: [TG_DOC, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Количество хопов урла в обходе (типа меньше - ближе к морде, тем меньше значение (0 - морда, 1 - с морды добраться нельзя, 0 < можно добраться с морды < 1). Нормальное значение для корня носта 0.0039)." Authors: "denplusplus" Responsibles: "alsafr"
Tests: [{ name: "DistanceMan", details: "YL-2015", result: 90 }] } This code is about the Yandex search engine ranking factor called Hops. The factor evaluates the number of 'hops' or links that a URL has taken to reach a certain page through a page (the closer a page is to the homepage, the lower its score). The normal value for a homepage is 0.0039. The code also lists tags to documents, static content, rearranged use, undocumented items, L2, and neural networks over features use. Other details such as the authors, responsible individuals, and tests are also provided.
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Factor { Index: 66 CppName: "FI_LOG_LR" Name: "LogLR" AntiSeoUpperBound: 0.85 Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Логарифм от LR, линейно отображенный в [0,1]." Authors: ["denplusplus", "karpik"] Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 66 CppName: "FI_LOG_LR" Name: "LogLR" AntiSeoUpperBound: 0.85 Group: "Dynamic" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Логарифм от LR, линейно отображенный в [0,1]." Authors: ["denplusplus", "karpik"] Responsibles: "alsafr"
Validated: false MonthBeforeOldest: 5 } This code is about one of the Yandex Search Engine ranking factors, called LogLR. It is a dynamic ranking factor that takes into account the link text, undocumented, often zero and deprecated link tags. The description states that it is a logarithm from LR (Linear Regression) mapped to the range between 0 and 1. The authors are denplusplus and karpik, and alsafr is responsible for this factor, but it hasn't been validated yet. The oldest data for this factor is from 5 months ago.
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Factor { Index: 67 CppName: "FI_TEXT_PAIR_EX" Name: "TxtPairEx" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "наличие пар слов по точной форме" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 67 CppName: "FI_TEXT_PAIR_EX" Name: "TxtPairEx" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "наличие пар слов по точной форме" Responsibles: "alsafr"
Status: SS_STABLE LastVersionSafe: 0.89 Zone: ZN_HI } This code is about a search engine ranking factor called TxtPairEx. This factor is concerned with the presence of word pairs in exact form. It is a stable factor, has a rank of 67, and is a text-based BM25 feature. It's associated with document text and dynamic content, and uses Level 2 NN over features. It is the responsibility of alsafr and is located in the high zone.
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Factor { Index: 68 CppName: "FI_TEXT_BREAK_EX" Name: "TxtBreakEx" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "количество предложений, в которых встречается много слов по точной форме" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 68 CppName: "FI_TEXT_BREAK_EX" Name: "TxtBreakEx" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "количество предложений, в которых встречается много слов по точной форме" Responsibles: "alsafr"
} The code is referencing a Yandex search engine ranking feature called “TxtBreakEx”. This factor looks at how many sentences a document contains that contain words with an exact spelling. It is also associated with other factors such as TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE. This feature is responsible for the "number of sentences in which many words appear in an exact form" and is being handled by “alsafr”.
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Factor { Index: 69 CppName: "FI_TEXT_HEAD_EX" Name: "TxtHeadEx" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "наличие слов в заголовке по точной форме" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 69 CppName: "FI_TEXT_HEAD_EX" Name: "TxtHeadEx" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "наличие слов в заголовке по точной форме" Responsibles: "alsafr"
} This code provides information about a Yandex Search Engine ranking factor called "FI_TEXT_HEAD_EX" or "TxtHeadEx". This factor is used to identify the presence of certain words in the header of a document. It belongs to the "TextBM25" group and is applicable to documents, dynamic text, use of rearrenging, undocumentation and the use of Level 2 and Neural Network over Features. It is responsible by alsafr. In plain English, this code describes a Yandex Search Engine ranking factor that looks at the content of a document's header to see if it contains specific words. This factor is part of a larger group, and is applicable to documents, dynamic text and other things related to it. It also has a person responsible for it.
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Factor { Index: 70 CppName: "FI_TEXT_HI_RELEV_EX" Name: "TxtHiRelEx" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 по точной форме" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 70 CppName: "FI_TEXT_HI_RELEV_EX" Name: "TxtHiRelEx" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 по точной форме" Responsibles: "alsafr"
} This code is about the Yandex search engine ranking factors. It is related to a metric known as the "FI_TEXT_HI_RELEV_EX" which is a part of the TextBM25 Group. This metric uses documents, text, dynamic, undocumented, L2 and NN_OVER_FEATURES_USE Tags in order to measure the relevance of certain text. The description given for this metric is "BM25 по точной форме" which, when translated to English, means "BM25 of exact form". Finally, the metric is given an "Index" rating of 70, which is rated and responsible by the user "alsafr".
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Factor { Index: 71 CppName: "FI_TEXT_BM25_EX" Name: "TxtBm25Ex" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Простой BM25 по точной форме." Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 71 CppName: "FI_TEXT_BM25_EX" Name: "TxtBm25Ex" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Простой BM25 по точной форме." Responsibles: "alsafr"
Maturity: 50 Way: HYBRID Mark: 1.0 Parameters: { { ParamName: "alphaBM25" Type: INTVAL Values: [1, 1000] Default: 10 Desc: "Параметр альфа для расчёта BM25." Responsibles: "alsafr" } }} This code is about a search engine ranking factor known as TxtBm25Ex (TextBM25) which is part of Yandex. The Tags indicate it is a dynamic, rearranging, undocumented, level 2 document text and uses neural network over features. This factor is considered to be of a medium level of maturity and uses a hybrid approach. The Parameter named alphaBM25 is an integer value with range of 1 to 1000 whose
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Factor { Index: 72 CppName: "FI_TEXT_PAIR_SYN" Name: "TxtPairSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "наличие пар слов c учетом синонимов (>=TxtPair)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 72 CppName: "FI_TEXT_PAIR_SYN" Name: "TxtPairSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "наличие пар слов c учетом синонимов (>=TxtPair)" Responsibles: "alsafr"
Type: YX_TEXT_PAIR_SYN ArgName: "TxtPairSyn" Impact: 5 DefValue: "1.1" DeclaredIn: AD_VERSION_NORMAL UpdateMode: NO_MANUAL_UPDATE } This code describes a factor in the Yandex search engine ranking system. The factor is called "TxtPairSy", and it is a part of the "TextBM25" group. The factor has various tags associated with it, such as "TG_DOC", "TG_DOC_TEXT", "TG_DYNAMIC", "TG_UNDOCUMENTED", "TG_L2", and "TG_NN_OVER_FEATURES_USE". The description of this factor is "the presence of word pairs with the consideration of synonyms (TxtPair)". It has an assigned index of 72, and
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Factor { Index: 73 CppName: "FI_TEXT_BRAEK_SYN" Name: "TxtBreakSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "количество предложений, в которых встречается много слов c учетом синонимов" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 73 CppName: "FI_TEXT_BRAEK_SYN" Name: "TxtBreakSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "количество предложений, в которых встречается много слов c учетом синонимов" Responsibles: "alsafr"
Target: [B Q S] Content: [L2] Value: [sum/qlen AVG/qlen ] CalcFunc: {MkfBreakSynSyms(query); MkfBreakSubSyn(query);} } This code is about calculating the number of sentences that contain a lot of words with the use of synonyms. The Tag of the document is TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2 and TG_NN_OVER_FEATURES_USE. The Responsible is alsafr, value is sum or average per query length and the content length is L2. The calculation function is MkfBreakSynSyms (query) and MkfBreakSubSyn (query). This code has a ranking factor of 73 on Yandex.
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Factor { Index: 74 CppName: "FI_TEXT_HEAD_SYN" Name: "TxtHeadSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "наличие слов в заголовке c учетом синонимов" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 74 CppName: "FI_TEXT_HEAD_SYN" Name: "TxtHeadSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_REARR_USE, TG_NN_OVER_FEATURES_USE] Description: "наличие слов в заголовке c учетом синонимов" Responsibles: "alsafr"
Implementation: [ Python , C/C++ ] Implemented: C++ ProdOwner: "TB" Level: L2 IsGroupEnabled: 1 This code is about the Yandex Search Engine ranking factor called "FI_TEXT_HEAD_SYN". This factor calculates the presence of words in the website's title with their synonyms taken into account. It has been implemented in both Python and C/C++ languages and currently has an index of 74. It also has tags such as TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_REARR_USE, TG_NN_OVER_FEATURES_USE, and a level L2. The implementation was done by a person called "alsafr" and is owned by "TB". Finally, this factor is enabled in the Group "
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Factor { Index: 75 CppName: "FI_TEXT_HI_RELEV_SYN" Name: "TxtHiRelSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 c учетом синонимов" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 75 CppName: "FI_TEXT_HI_RELEV_SYN" Name: "TxtHiRelSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "BM25 c учетом синонимов" Responsibles: "alsafr"
CalculationDetails: "Metric obliczaetsya po BM25 c uchetom synonimov" Extensions: [] Formula: Formula(list()) Google: 0 Scope: SC_DOC Parameter: Parameter(list()) } This code is about a ranking factor for Yandex, a search engine, known as "TxtHiRelSy". It is part of the TextBM25 group, related to documents with text, dynamic elements, unseen documents and other features (indicated by the Tags). It is calculated by considering the usage of synonyms in BM25. The responsibility for this factor belongs to alsafr and the calculation details indicate it is done with the consideration of the synonyms. The formula and parameter are given as empty lists and Google is not applicable. This ranking factor applies to documents ("SC_DOC").
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Factor { Index: 76 CppName: "FI_TEXT_BM25_SYN" Name: "TxtBm25Sy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Простой BM25 c учетом синонимов." Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 76 CppName: "FI_TEXT_BM25_SYN" Name: "TxtBm25Sy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Простой BM25 c учетом синонимов." Responsibles: "alsafr"
IsWeight: true IsNormWeight: true Coeffs: {f:1.0, b:0.8, K:0.8} IsNormCoeffs: true WeightCoefs: {f:1.0, b:0.8, k:0.8} IsNormWeightCoefs: true NormCoeffLen: 1 WeightNorm: 0.0 } This code is related to YANDEX Search Engine's ranking factors. The factor is called TextBM25Sy which is a simple BM25 with consideration of synonyms. It is responsible by "alsafr", is a weight factor and has a coefficient of {f:1.0, b: .8, K: .8}, as well as a weight coefficient of {f:1.0, b: .8, K: .8}. It also has
78
Factor { Index: 77 CppName: "FI_QUERY_DOWNER_CLICKS_PCTR" Name: "QueryDOwnerClicksPCTR" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Насколько часто кликают в URLы данного domainId по данному запросу - CTR domainId домноженный на поправочный коэффициент" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["akhropov", "solar", "denplusplus"] Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 77 CppName: "FI_QUERY_DOWNER_CLICKS_PCTR" Name: "QueryDOwnerClicksPCTR" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Насколько часто кликают в URLы данного domainId по данному запросу - CTR domainId домноженный на поправочный коэффициент" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["akhropov", "solar", "denplusplus"] Responsibles: ["tarum", "niknik"]
Formula: Formula_2245 ( is deprecated , use Formula_3333 ) This code is about the Yandex Search Engine ranking factors. It relates to the query/downer clicks percentage (CTR domain) multiplied by the correction coefficient. This factor measures the frequency at which users click on URLs of the given domainId in the given query. The countries specified are CNT_RELEV and the data used to get the results come from the tags such as TG_USER, TG_USER_SEARCH etc. It is also mentioned that Formula_2245 is deprecated, and Formula_3333 should be used instead.
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Factor { Index: 78 CppName: "FI_HAS_NO_QUERY_DOWNER_SHOWS" Name: "HasNoQueryDOwnerShows" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_BINARY, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Для данного domainId для данного запроса нет информации о кликабельности 1 - запроса или запроса-владельца нет в базе кликов, 0 - запрос-владелец есть в базе кликов" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#hasnoqueryurldownershows" Authors: ["denplusplus", "kostyagin"] Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 78 CppName: "FI_HAS_NO_QUERY_DOWNER_SHOWS" Name: "HasNoQueryDOwnerShows" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_BINARY, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "Для данного domainId для данного запроса нет информации о кликабельности 1 - запроса или запроса-владельца нет в базе кликов, 0 - запрос-владелец есть в базе кликов" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#hasnoqueryurldownershows" Authors: ["denplusplus", "kostyagin"] Responsibles: ["tarum", "niknik"]
} This code is about a Yandex search engine ranking factor. Specifically, it is about determining whether there is any information about the clickability of a specific domain and query. The factor is called "HasNoQueryDOwnerShows", and is given an index of 78. It is tagged with various categories related to dynamics, localization, user search, external data, and more. The countries to which it is relevant are listed as "CNT_RELEV". The code indicates that if there is no information about the query or query owner in the click database, then this factor is set to 1, otherwise it is set to 0. There is also a link to Wiki which provides more information about this factor. Finally, the authors and responsibles for this factor are listed.
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Factor { Index: 79 CppName: "FI_OWNER_CLICKS_PCTR" Name: "OwnerClicksPCTR" Tags: [TG_STATIC, TG_OWNER, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_OFTEN_ZERO, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Кликабельность владельца независимо от запроса" Wiki: "http://wiki.yandex-team.ru/ЯндексПоиск/КачествоПоиска/Клики#ownerclickspctrreg" Authors: ["akhropov", "maslov"] Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 79 CppName: "FI_OWNER_CLICKS_PCTR" Name: "OwnerClicksPCTR" Tags: [TG_STATIC, TG_OWNER, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_OFTEN_ZERO, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Кликабельность владельца независимо от запроса" Wiki: "http://wiki.yandex-team.ru/ЯндексПоиск/КачествоПоиска/Клики#ownerclickspctrreg" Authors: ["akhropov", "maslov"] Responsibles: ["tarum", "niknik"]
Formula: "1 - (Сколько раз ничего не кликнул владелец / Сколько раз кликал владелец)" Formagnos: ["{owner|[0-9]*} / {owner|[0-9]*} - 1"] } Translation: This code refers to a Yandex Search Engine ranking factor called OwnerClicksPCTR. It is used to measure the clickability of an owner independent of any query. The formula for this factor is "1 - (How many times the owner did not click / How many times the owner clicked)". Tags associated with this factor include TG_STATIC, TG_OWNER,
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Factor { Index: 80 CppName: "FI_MEGAFON" Name: "Megafon" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_UNUSED] Description: "Относительная частота слов запроса в ссылках (1 - слова запроса часто встречаются в ссылках, 0.3 - редко); если точнее, значение этого фактора пессимизируется при условии: TR=0 && LR=0 && (нет ни одной ссылки со всеми словами запроса) && (не прошёл кворум) && (в тексте встречается хотя бы одна пара слов запроса)" Responsibles: "alsafr"Factor {
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 80 CppName: "FI_MEGAFON" Name: "Megafon" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_UNUSED] Description: "Относительная частота слов запроса в ссылках (1 - слова запроса часто встречаются в ссылках, 0.3 - редко); если точнее, значение этого фактора пессимизируется при условии: TR=0 && LR=0 && (нет ни одной ссылки со всеми словами запроса) && (не прошёл кворум) && (в тексте встречается хотя бы одна пара слов запроса)" Responsibles: "alsafr"Factor {
This code is about the relative frequency of words in queries. It pertains to the Megafon search engine index and is linked to various parameters like document type, document text, dynamic links and unused links in the text. The factor is designed to provide a pessimistic score when all other conditions fail; this score is calculated by looking for at least one pair of words from the query in the text. The responsible for this factor is "alsafr".
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Factor { Index: 81 CppName: "FI_HAS_ALL_WORDS_MERGED" Name: "XLRp0" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "В ссылках есть все слова запроса" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 81 CppName: "FI_HAS_ALL_WORDS_MERGED" Name: "XLRp0" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "В ссылках есть все слова запроса" Responsibles: "alsafr"
SchemaVersion: 2 } This code is about Yandex Search Engine ranking factors. It states that the factor Index has a score of 81 and its name is FI_HAS_ALL_WORDS_MERGED ("XLRp0" in Russian). The factor belongs to a group called Xref and is tagged with several properties such as TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, and TG_DEPRECATED. The description for this factor is “In the links there are all the words of the query” and the responsible person is “alsafr”. Finally, it has a schema version of 2. This factor is used to measure how well a website's internal links contain all the words found in the query. The higher the score, the
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Factor { Index: 82 CppName: "FI_HAS_ALL_WORDS_IN_LINK" Name: "XLRp1" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "В одной ссылке есть все слова запроса" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 82 CppName: "FI_HAS_ALL_WORDS_IN_LINK" Name: "XLRp1" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "В одной ссылке есть все слова запроса" Responsibles: "alsafr"
This code is about Yandex search engine ranking factors. It has a numerical rating of 82 and the C++ name for this factor is "FI_HAS_ALL_WORDS_IN_LINK". The name is "XLRp1" and it is part of the group called "Xref". The tags associated with this factor are TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, and TG_DEPRECATED. The translated description of this factor is "In one link there are all the words of the query". The responsible for this factor is identified as "alsafr". This ranking factor suggests that the relevance of a page increases when all words in a query are found in a single link.
84
Factor { Index: 83 CppName: "FI_PHRASE" Name: "XLRp2" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Есть ссылка, прошедшая кворум" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 83 CppName: "FI_PHRASE" Name: "XLRp2" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Есть ссылка, прошедшая кворум" Responsibles: "alsafr"
Defaults: true WeightByURL: 0.05 MinWeight: 0.10 MinPages: 10 MaxWeight: 0.70 MaxPages: 10 MaxLoadLimit: 20 ReturnQueue: false WeightAllPages: false AllowedOnProducts: ["Desktop", "DevTools", "Telemetry", "YolYaAnalitics"] Enabled: true} This refers to the Yandex Search Engine ranking factor known as "FI_PHRASE". This factor is part of the "Xref" group and is related to text, dynamic content, link text, binary files, undocumented content, often zero content, and deprecated content. The description in Russian states that there is a link that has been approved. The code defines the responsible person as "alsafr", and that the ranking factor is enabled by default. It also indicates a weight of 0
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Factor { Index: 84 CppName: "FI_GOOD_RATIO" Name: "XLRgood" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Какая доля ссылок “хорошая”" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 84 CppName: "FI_GOOD_RATIO" Name: "XLRgood" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Какая доля ссылок “хорошая”" Responsibles: "alsafr"
Priority: PRI_MEDIUM FormulaWeight: 320 FormulaInfoHeight: 0 Status: ST_DISABLED TypeOfValueExpected: VE_DECIMAL } This code is about a search engine ranking factor named "XLRgood". It is part of the group "Xref" and it is related to tags such as TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, and TG_DEPRECATED. The code indicates that for this ranking factor, the factor index is 84 and the description is "What proportion of links is 'good'". The code also specifies that the responsible for this factor is "alsafr" and its priority is PRI_MEDIUM. The formula weight is 320 and the formula info height is 0. In addition, the status of this factor is ST_DISABLED
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Factor { Index: 85 CppName: "FI_MANY_BAD" Name: "XLRmanyBad" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Насколько много “плохих” ссылок (плохой = dpr = 0)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 85 CppName: "FI_MANY_BAD" Name: "XLRmanyBad" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Насколько много “плохих” ссылок (плохой = dpr = 0)" Responsibles: "alsafr"
Weight: 0.7 } This code is about a "Yandex search engine ranking factor" known as "XLRmanyBad". It is part of a group known as "Xref" and consists of 6 tags: one relating to a document, dynamic content, link text, undocumented topics, oft-zero related topics and deprecated topics. The description states that this factor measures the amount of "bad" links (a link is considered "bad" if its dpr value is 0). The responsible for this factor is "alsafr" and it has a weight of 0.7. In plain English, this ranking factor is aiming to measure how many links have a "bad" dpr value, and these links will be taken into consideration when ranking a website in the Yandex search engine.
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Factor { Index: 86 CppName: "FI_LR_MAX_DPR" Name: "XLRmaxDpr" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Максимальный dpr ссылки" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 86 CppName: "FI_LR_MAX_DPR" Name: "XLRmaxDpr" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Максимальный dpr ссылки" Responsibles: "alsafr"
} This code is related to the Yandex search engine ranking factors. FI_LR_MAX_DPR is a factor for determining the search ranking and it is part of the 'Xref' Group. This factor is related to the document, dynamic information, link text, undocumented information, oft-zero information and deprecated information. The description in the code is in Russian which when translated to English reads as 'Maximum dpr of the link'. It is responsible to 'alsafr'.
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Factor { Index: 87 CppName: "FI_LR_TF_IDF" Name: "XLRtfidf" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "TfIdf обычный TF*IDF по ссылкам. Частота слова в ссылках умножается на обратную документную частоту и суммируется по всем словам, потом нормируется на длину документа." Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 87 CppName: "FI_LR_TF_IDF" Name: "XLRtfidf" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "TfIdf обычный TF*IDF по ссылкам. Частота слова в ссылках умножается на обратную документную частоту и суммируется по всем словам, потом нормируется на длину документа." Responsibles: "alsafr"
This Yandex Search Engine ranking factor is known as XLRtfidf and it falls under the Xref group. The tags associated with it are TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED and TG_DEPRECATED. XLRtfidf uses the TF*IDF algorithm to calculate the relevance of links. It works by multiplying the frequency of words in the links by its inverse document frequency, then summing all of the words and then normalising it against the length of the document. The individual responsible for this factor is 'alsafr'.
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Factor { Index: 88 CppName: "FI_LR_RELEV" Name: "XLRrelev" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-2" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность от Гулина" Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 88 CppName: "FI_LR_RELEV" Name: "XLRrelev" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-2" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность от Гулина" Authors: "gulin" Responsibles: "gulin"
GoogleReference: "https://support.google.com/webmasters/answer/66358?hl=en" } This code refers to the Yandex Search Engine ranking factor FI_LR_RELEV. It is known as the XLRrelev factor. This factor is part of the Xref Group and it is used to measure link relevance from Gulina. It was developed by Gulina, and he is responsible for maintaining it. This factor is associated with different tags like TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED and TG_DEPRECATED. Generally, it is used to measure the relevance of a link between two web pages.
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Factor { Index: 89 CppName: "FI_LR_RELEV_200" Name: "XLRrelev200" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность от Гулина" Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 89 CppName: "FI_LR_RELEV_200" Name: "XLRrelev200" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность от Гулина" Authors: "gulin" Responsibles: "gulin"
Parent: "" Weight: 200 IsDynamic: true IsCacheable: false AllowNegative: false This code is about a ranking factor used in Yandex search engine. The “XLRrelev200” factor looks at the relevance of a link from the perspective of its author, Gulin. It assigns a weight of 200 to the ranking factor, and is used to determine how well a document is indexed and how relevant it is. It is a dynamic factor, meaning it can change over time; it is not cacheable and does not allow for negative values. It is tagged as TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, and TG_DEPRECATED. The description provided is in Russian and can be translated as "Link Relevance from Gulin".
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Factor { Index: 90 CppName: "FI_LR_LOG_RELEV" Name: "XLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность от Гулина" Authors: "gulin" Responsibles: "gulin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 90 CppName: "FI_LR_LOG_RELEV" Name: "XLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность от Гулина" Authors: "gulin" Responsibles: "gulin"
Awards: [AW_LR] FiscalYear: 0 AdjustedValue: 0 Comment: "" } This code is referring to a ranking factor used by Yandex, a search engine similar to Google. The ranking factor is 'Xref LRlogRelev', which stands for 'Link Relevance from Gulin'. Generally speaking, this is a measure of how relevant a certain web page or content is in relation to the search query entered into the search engine, considering the quality of the links related to the page. The factor also takes into account tags such as CG_DOC, CG_DYNAMIC, CG_LINK_TEXT and CG_UNDOCUMENTED, as well as awards like AW_LR and fiscal year. The code also mentions Gulin as its author and responsible, and no comment is added.
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Factor { Index: 91 CppName: "FI_BF_EXACT" Name: "BFexact" Group: "BestForm" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Есть точная форма всех слов запроса в тексте/линках" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 91 CppName: "FI_BF_EXACT" Name: "BFexact" Group: "BestForm" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Есть точная форма всех слов запроса в тексте/линках" Responsibles: "alsafr"
Priority: 10 Category: CAT_TEXTS_STRING_MATCHING Thresholds: [ { Attribute: "words_matched_percentage" Cmp: ">=" Value: 0.75 } ] } This code is about Yandex search engine ranking factor. FI_BF_EXACT stands for BestForm and is used to identify any exact form of all words in a query within the text or links. This factor has a priority of 10, a category of CAT_TEXTS_STRING_MATCHING and its threshold is a words_matched_percentage of more than or equal to 0.75. The responsible for this factor is alsafr.
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Factor { Index: 92 CppName: "FI_BF_LEMMA" Name: "BFlemma" Group: "BestForm" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Есть лемма всех слов запроса в тексте/линках" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 92 CppName: "FI_BF_LEMMA" Name: "BFlemma" Group: "BestForm" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Есть лемма всех слов запроса в тексте/линках" Responsibles: "alsafr"
References: [] Tasks: [TT_RANK, TT_FILTER] Formula: " SUM ( if ( wLemma isPresent; 3; 0) ) * bflemma" LastUpdate: 26.11.2009 SyncedWithOther: [] } This code describes a search engine ranking factor called BFlemma. It is used to measure the presence of the lemma of all of the words in the query in the content, text, links, binary, undocumented and deprecated. The formula given is: "SUM (if (wLemma isPresent; 3; 0)) * bflemma". This means that if the lemma is found it gets a value of 3, whereas if it is not found the value is 0. The last update was 26.11.2009.
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Factor { Index: 93 CppName: "FI_SOFT_AND_OK" Name: "SoftAndOk" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Документ прошел softand по ограничениям синтаксического колдунщика. Только для документов, имеющих текстовую релевантность. Для однословных запросов всегда 1." Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 93 CppName: "FI_SOFT_AND_OK" Name: "SoftAndOk" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Документ прошел softand по ограничениям синтаксического колдунщика. Только для документов, имеющих текстовую релевантность. Для однословных запросов всегда 1." Responsibles: "alsafr"
} This code is about SoftAndOk, which is a dynamic index for Yandex Search Engine. The index score is 93. It tags documents and checks if these documents have text relevance. It is mostly applicable to documents with text relevance. For one-word queries, it scores 1. The code also mentions "alsafr" as the responsible person.
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Factor { Index: 94 CppName: "FI_NEW_LINK_QUALITY" Name: "NewLinkQuality" Tags: [TG_DOC, TG_LINK_GRAPH, TG_STATIC, TG_DEPRECATED] Description: "Классификатор качества входящих ссылок 2 - сломан, см [407]" Responsibles: "alsafr"Factor {
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 94 CppName: "FI_NEW_LINK_QUALITY" Name: "NewLinkQuality" Tags: [TG_DOC, TG_LINK_GRAPH, TG_STATIC, TG_DEPRECATED] Description: "Классификатор качества входящих ссылок 2 - сломан, см [407]" Responsibles: "alsafr"Factor {
Index: 94 CppName: "FI_NEW_LINK_QUALITY" Name: "NewLinkQuality" Tags: [TG_DOC, TG_LINK_GRAPH, TG_STATIC, TG_DEPRECATED] Description: "Classifier of the quality of incoming links 2 - broken, see [407]" Responsibles: "alsafr" This code is about Yandex Search Engine ranking factor. It feature called NewLinkQuality which is tagged with TG_DOC and TG_LINK_GRAPH, TG_STATIC and TG_DEPRECATED. The description of the Factor is: Classifier of the quality of incoming links 2 - broken, see [407]. The responsible person for this factor is "alsafr”.
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Factor { Index: 95 CppName: "FI_UKR" Name: "Ukrainian" Tags: [TG_STATIC_REGINFO, TG_HOST, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "равен единице, если у сайта стоит украинский гео-атрибут(т.е 1 - украинский сайт)" Responsibles: "alsafr"Factor {
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 95 CppName: "FI_UKR" Name: "Ukrainian" Tags: [TG_STATIC_REGINFO, TG_HOST, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "равен единице, если у сайта стоит украинский гео-атрибут(т.е 1 - украинский сайт)" Responsibles: "alsafr"Factor {
This code is about the Yandex Search Engine ranking factors. This code is specific for Ukrainian websites and indicates that a website with a Ukrainian geo-attribute will receive a score of 95. This code has the CppName "FI_UKR", Name "Ukrainian", and Tags "TG_STATIC_REGINFO, TG_HOST, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE". The code is intended to describe that a website with a Ukrainian geo-attribute will have a score of 95, which in plain English means it will rank higher in Yandex searches. "Alsafr" is responsible for this code.
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Factor { Index: 96 CppName: "FI_IS_BLOG" Name: "IsBlog" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-5" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Страница с блогохостинга" Authors: ["burmisha", "zudina"] Responsibles: ["burmisha", "zudina"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 96 CppName: "FI_IS_BLOG" Name: "IsBlog" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/Klassificacionnye?v=tkd#h45859-5" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Страница с блогохостинга" Authors: ["burmisha", "zudina"] Responsibles: ["burmisha", "zudina"]
} This code is about a Yandex search engine ranking factor named "IsBlog". It is designed to measure the quality of a page from a blog hosting platform by considering the host and other features like static, binary, rearrangeability, undocumented, often zero, L2, and Neural Network over features use. This factor was created by authors Burmisha and Zudina, who are also responsible for its maintenance.
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Factor { Index: 97 CppName: "FI_IS_LJ" Name: "IsLivejournal" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Страница с livejournal.com" Responsibles: "alsafr"# TODO(FACTORDEL-56): replace with TG_REMOVED
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 97 CppName: "FI_IS_LJ" Name: "IsLivejournal" Tags: [TG_HOST, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Страница с livejournal.com" Responsibles: "alsafr"# TODO(FACTORDEL-56): replace with TG_REMOVED
. MaxFactor: 100 Creator: "etor" This code is related to a Yandex search engine ranking factor. This factor, named FI_IS_LJ, is used to determine if a page is from the livejournal.com website. This factor requires multiple tags, such as TG_HOST, TG_STATIC, TG_BINARY, and so on, in order to evaluate its effectiveness. The maximum possible value for this factor is 100. The creator of the factor is "etor" and the responsible person is "alsafr".
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Factor { Index: 98 CppName: "FI_REMOVED_98" Name: "Removed_98" Tags: [TG_UNUSED]Factor { Index: 99 CppName: "FI_SPAM2"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 98 CppName: "FI_REMOVED_98" Name: "Removed_98" Tags: [TG_UNUSED]Factor { Index: 99 CppName: "FI_SPAM2"
Name: "Spam" Tags: [TG_BLACKHAT] This code refers to ranking factors for Yandex search engine. It suggests that factors with index number 98 and 99 (“Removed_98” and “Spam”) are not currently being used. The first factor (“Removed_98”) is indicated to be unused, while the second factor (“Spam”) is considered to be a blackhat technique (unethical and may be used to manipulate search engine results).
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Factor { Index: 99 CppName: "FI_SPAM2" Name: "Spam2" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-3" Tags: [TG_OWNER, TG_STATIC, TG_THEME_CLASSIF, TG_DEPRECATED] Description: "Автоматичемкий классификатор спама им. Алексеева, вероятность того, что сайт спам (0 не спам, 1- спам)" Authors: "abv" Responsibles: "abv"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 99 CppName: "FI_SPAM2" Name: "Spam2" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-3" Tags: [TG_OWNER, TG_STATIC, TG_THEME_CLASSIF, TG_DEPRECATED] Description: "Автоматичемкий классификатор спама им. Алексеева, вероятность того, что сайт спам (0 не спам, 1- спам)" Authors: "abv" Responsibles: "abv"
This code is part of a Yandex search engine ranking factor. The factor is called "Spam2" and it is used to automatically classify a website as a potential source of spam. It uses a probability rating from 0 (not spam) to 1 (spam). The code also provides the authors and responsible personnel for this factor and gives a link to a wiki page for more information about the factor.
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Factor { Index: 100 CppName: "FI_TEXT_FEATURES" Name: "TextFeatures" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Качество текста. Считается по довольно сложной формуле" Responsibles: "alsafr"Factor {
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 100 CppName: "FI_TEXT_FEATURES" Name: "TextFeatures" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Качество текста. Считается по довольно сложной формуле" Responsibles: "alsafr"Factor {
Index: 100 CppName: "FI_TEXT_FEATURES" Name: "TextFeatures" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Quality of the text. Considered by a quite complex formula" Responsibles: "alsafr" This code is used to determine the ranking of a website in Yandex search engine. The code lists a factor called “TextFeatures” with Index 100. The Tags associated with this factor are: TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE. The code describes this
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Factor { Index: 101 CppName: "FI_TEXT_LIKE" Name: "TextLike" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Качество текста (классификатор Алексеева)" Responsibles: "alsafr"# TODO(FACTORDEL-56): replace with TG_REMOVED
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 101 CppName: "FI_TEXT_LIKE" Name: "TextLike" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Качество текста (классификатор Алексеева)" Responsibles: "alsafr"# TODO(FACTORDEL-56): replace with TG_REMOVED
Data: NONE Detail: NONE DefaultValue: 0.02 DevLink: [NONE] } This code is about the “TextLike” factor, which is part of the Yandex search engine ranking factors. It has an index number of 101 and is given the CppName “FI_TEXT_LIKE”. The Tags associated with this factor are TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, and TG_NN_OVER_FEATURES_USE. The description states that it is about the quality of the text (Alekseyev classifier). There is no data or detail associated with this factor and the default value is 0.02.
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Factor { Index: 102 CppName: "FI_REMOVED_102" Name: "Removed_102" Tags: [TG_UNUSED]# TODO(FACTORDEL-56): replace with TG_REMOVEDFactor { Index: 103
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 102 CppName: "FI_REMOVED_102" Name: "Removed_102" Tags: [TG_UNUSED]# TODO(FACTORDEL-56): replace with TG_REMOVEDFactor { Index: 103
CppName: "FI_REMOVED_103" Name: "Removed_103" Tags: [TG_UNUSED]# TODO(FACTORDEL-57): replace with TG_REMOVED This code is about Yandex Search Engine ranking factors and refers to the removal of two factors from the ranking. It includes two entries, each with different details, the first titled "Removed 102" and the second titled "Removed103". Each entry has an index number and a tag indicating that the factor has been removed, completed with a note to replace it with TG_REMOVED at some point. In plain English, this code is indicating that two ranking factors have been removed from the Yandex Search Engine's algorithm and will need to be replaced with TG_REMOVED.
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Factor { Index: 103 CppName: "FI_REMOVED_103" Name: "Removed_103" Tags: [TG_UNUSED]Factor { Index: 104 CppName: "FI_YABAR_CORE_OWNER"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 103 CppName: "FI_REMOVED_103" Name: "Removed_103" Tags: [TG_UNUSED]Factor { Index: 104 CppName: "FI_YABAR_CORE_OWNER"
Name: "Yabar_Core_Owner" Type: FT_FACTOR Tags: [TG_YABAR_CORE] This code could be related to Yandex, a search engine with a ranking system for webpages. Factor 103 ("Removed_103") is unused and does not appear to be necessary for the ranking system. Factor 104 ("Yabar_Core_Owner") is related to the Yabar_Core system and is characterized as a type of factor which is used to rank webpages.
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Factor { Index: 104 CppName: "FI_YABAR_CORE_OWNER" Name: "YaBarCoreOwner" Tags: [TG_STATIC, TG_OWNER, TG_USER, TG_BROWSER, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS] Description: "Ядро аудитории владельцев по данным Яндекс.Браузинга" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/userbrowsingactions/coreaudience/" Authors: "monster" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 104 CppName: "FI_YABAR_CORE_OWNER" Name: "YaBarCoreOwner" Tags: [TG_STATIC, TG_OWNER, TG_USER, TG_BROWSER, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS] Description: "Ядро аудитории владельцев по данным Яндекс.Браузинга" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/userbrowsingactions/coreaudience/" Authors: "monster" Responsibles: ["tarum", "niknik"]
Please refer to Google's factors if any. This code lists a factor that can be used by Yandex (a Russian search engine) to generate a ranking. The factor is called the YaBarCoreOwner factor and it is based on data collected from the Yandex browser. It will use tags to rank users based on static data, such as their ownership, user features and visits activity. This factor has been authored by someone named monster and is responsible to Tarum and Niknik. The information about it can be found in the Yandex wiki.
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Factor { Index: 105 CppName: "FI_YABAR_CORE_HOST" Name: "YaBarCoreHost" Tags: [TG_STATIC, TG_HOST, TG_USER, TG_BROWSER, TG_REARR_USE, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS] Description: "Ядро аудитории хостов по данным Яндекс.Браузинга" Authors: "kostyagin" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/userbrowsingactions/coreaudience/" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 105 CppName: "FI_YABAR_CORE_HOST" Name: "YaBarCoreHost" Tags: [TG_STATIC, TG_HOST, TG_USER, TG_BROWSER, TG_REARR_USE, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS] Description: "Ядро аудитории хостов по данным Яндекс.Браузинга" Authors: "kostyagin" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/userbrowsingactions/coreaudience/" Responsibles: ["tarum", "niknik"]
HideFromGuides: false ShowInExperiment: true UpperThreshold: 0.1 LowerThreshold: 0.001 ScoreMultiplier: 0.5} This code is related to the Yandex search engine rankings. It describes a specific ranking factor called "YaBarCoreHost", which is based on the data of Yandex.Browser. It is used to calculate the audience core of hosts on Yandex. This ranking factor has a specific upper and lower threshold value, as well as a score multiplier. The code also lists some tags and authors, as well as a link to a specific wiki page with more information. The code also indicates that this factor should be shown in experiments and not hidden from guides.
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Factor { Index: 106 CppName: "FI_HAS_YA_BAR_CORE" Name: "HasYaBarCore" AntiSeoUpperBound: 1.0 Tags: [TG_STATIC, TG_HOST, TG_USER, TG_BROWSER, TG_BINARY, TG_OFTEN_ZERO, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS] Description: "Имеет ли хост ядро" Authors: "kostyagin" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/userbrowsingactions/coreaudience/" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 106 CppName: "FI_HAS_YA_BAR_CORE" Name: "HasYaBarCore" AntiSeoUpperBound: 1.0 Tags: [TG_STATIC, TG_HOST, TG_USER, TG_BROWSER, TG_BINARY, TG_OFTEN_ZERO, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS] Description: "Имеет ли хост ядро" Authors: "kostyagin" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/userbrowsingactions/coreaudience/" Responsibles: ["tarum", "niknik"]
} This code is related to Yandex search engine ranking factors. It suggests that the website being indexed should have a “YaBarCore” in order to be properly indexed by the search engine. It is suggested that the websites should have tags such as TG_STATIC, TG_HOST, TG_USER, TG_BROWSER, TG_BINARY, TG_OFTEN_ZERO, TG_L2, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_VISITS_ACTIVITY_DOWNLOADS for its indexing. The authors alongside with their details of the code are provided. The description explains that the host should possess this “YaBarCore” and the Wiki directs to a website that provides further reading related to user browsing activities concerning “core audience”. The people responsible for
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Factor { Index: 107 CppName: "FI_SPAM_KARMA" Name: "SpamKarma" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-4" Tags: [TG_OWNER, TG_STATIC, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Спам карма имени антиспамеров - вероятность того, что хост – спам; основан на информации whois" Authors: "abv" Responsibles: "abv"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 107 CppName: "FI_SPAM_KARMA" Name: "SpamKarma" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-4" Tags: [TG_OWNER, TG_STATIC, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Спам карма имени антиспамеров - вероятность того, что хост – спам; основан на информации whois" Authors: "abv" Responsibles: "abv"
AffectedQpsPercent: 0.008 AffectedQpsMetric: "QPSJandexComBeforeAfter_Imp" } This code describes the "SpamKarma" SEO ranking factor for Yandex search engine. It has an upper-bound of 1.0, and is used to measure the likelihood that a host is a spam. It is based on whois information, and has an estimated affect on 0.008% of queries. The code also lists the authors and responsible persons for this factor, as well as some associated tags.
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Factor { Index: 108 CppName: "FI_MUSIC_Q" Name: "MusicQ" DependsOn: [{Feature: ["MusicQ"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "музыкальность запроса. Результаты работы колдунщика Антона Коныгина." Responsibles: "alsafr" UseArtifact: {Name: "MusicWizardClassificator"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 108 CppName: "FI_MUSIC_Q" Name: "MusicQ" DependsOn: [{Feature: ["MusicQ"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "музыкальность запроса. Результаты работы колдунщика Антона Коныгина." Responsibles: "alsafr" UseArtifact: {Name: "MusicWizardClassificator"
Slice: "slice_begemot" } This code is about providing a ranking score for search engine results called "MusicQ". The score depends on the search query, and is based on the work of an individual called Anton Koniygin who is classified as a magician. The score is generated using the "MusicWizardClassificator" from the "slice_begemot" slice. The ranking is categorized as a query, and is tagged with multiple descriptor categories such as TG_DYNAMIC, TG_QUERR_ONLY, TG_BINARY etc. The index value for this factor is 108, and the responsible person is listed as "alsafr".
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Factor { Index: 109 CppName: "FI_EXACT_MATCHES" Name: "XLExactMatches" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "число ссылок, точно совпадающих с запросом" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 109 CppName: "FI_EXACT_MATCHES" Name: "XLExactMatches" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "число ссылок, точно совпадающих с запросом" Responsibles: "alsafr"
Formulae: (1+log(@EXACT_MATCHES, 10)) * @EXACT_MATCHES * 1.2 } The code is referring to the Yandex search engine ranking factor. This factor checks the number of links that exactly match the query. It calculates this number by using the equation (1+log(@EXACT_MATCHES, 10))*@EXACT_MATCHES*1.2. This indicates that the higher the number of exact matches, the better the website will be ranked on the Yandex search engine. The code also notes specific tags, such as TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, and TG_DEPRECATED, which should be taken into consideration when considering the ranking factor. Finally, the code specifies the "Responsibles" for this factor as "alsafr".
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Factor { Index: 110 CppName: "FI_DOC_LEN" Name: "DocLen" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длина документа в предложениях" Responsibles: "alsafr"Factor {
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 110 CppName: "FI_DOC_LEN" Name: "DocLen" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длина документа в предложениях" Responsibles: "alsafr"Factor {
Index: 110 CppName: "FI_DOC_LEN" Name: "DocLen" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Length of the document in sentences" Responsibles: "alsafr" This code is about one of the factors used in Yandex Search Engine ranking. The factor is referred to as "FI_DOC_LEN", and its name is "DocLen". It encompasses tags such as TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE, and its description is "Length of the
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Factor { Index: 111 CppName: "FI_URL_LEN" Name: "UrlLen" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_STATIC, TG_URL_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длина URL'а, делённая на 5" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 111 CppName: "FI_URL_LEN" Name: "UrlLen" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_STATIC, TG_URL_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длина URL'а, делённая на 5" Responsibles: "alsafr"
This code determines the ranking factor for a website in the Yandex search engine. It assigns a rating of 111 to the "UrlLen" factor, which is the length of a URL divided by 5. The maximum rating for this factor is 1. This code also lists certain "tags" to determine how the factor should be used for SEO purposes, including if it is a document, a static URL, or should use Neural Network (NN) over features. The responsible for this factor is "alsafr".
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Factor { Index: 112 CppName: "FI_QUERY_NON_COMMERCIALITY" Name: "QueryNonCommerciality" DependsOn: [{Feature: ["QueryNonCommerciality"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_COMMERCIAL, TG_DYNAMIC, TG_QUERY_ONLY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Коммерческость запроса по словарю фраз от Директа: 0 - максимальная коммерческость, 1 - минимальная." Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/QueryNonCommerciality" Ticket: "SEARCHSPAM-7504"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 112 CppName: "FI_QUERY_NON_COMMERCIALITY" Name: "QueryNonCommerciality" DependsOn: [{Feature: ["QueryNonCommerciality"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_COMMERCIAL, TG_DYNAMIC, TG_QUERY_ONLY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Коммерческость запроса по словарю фраз от Директа: 0 - максимальная коммерческость, 1 - минимальная." Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/QueryNonCommerciality" Ticket: "SEARCHSPAM-7504"
GoogleEquivalent: "" This code is related to Yandex Search Engine ranking factors. It defines the "QueryNonCommerciality" factor, which is calculated based on the commerciality of a query according to the dictionary of phrases from Yandex Direct. The value for this factor ranges from 0 for maximum commerciality to 1 for minimum commerciality. It is part of the "Query" group and is tagged with several other factors including TG_COMMERCIAL, TG_DYNAMIC, and TG_QUERY_ONLY. There is a description and Wiki link with the code that explain how to calculate the QueryNonCommerciality factor. The reference to Google Equivalent is empty, suggesting that this factor is not used by Google.
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Factor { Index: 113 CppName: "FI_HOST_SIZE" Name: "HostSize" AntiSeoUpperBound: 1.0 Tags: [TG_HOST, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Размер хоста имени Расковалова в документах без учета дублей (каждый дубль учитывается в факторе самостоятельным документом)" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 113 CppName: "FI_HOST_SIZE" Name: "HostSize" AntiSeoUpperBound: 1.0 Tags: [TG_HOST, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Размер хоста имени Расковалова в документах без учета дублей (каждый дубль учитывается в факторе самостоятельным документом)" Authors: "denplusplus" Responsibles: "alsafr"
Implementers: "denplusplus, alsafr" Reviewers: "ilyakut" Year: 2020} This code is about the host size factor of Yandex search engine. It is a ranking factor that takes into account the size of the hostname of Raskevalov (without taking into account duplicates) in documents, with each duplicate being taken into account as a separate document. This factor was developed in 2020 by denplusplus, alsafr, and ilyakut.
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Factor { Index: 114 CppName: "FI_IS_HTML" Name: "IsHTML" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Тип документа - HTML" Responsibles: "alsafr"Factor {
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 114 CppName: "FI_IS_HTML" Name: "IsHTML" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Тип документа - HTML" Responsibles: "alsafr"Factor {
Index: 105 CppName: "FI_GAIN_INTERNAL_LINKS" Name: "GainInternalLinks" Tags: [TG_DOC, TG_DOC_TEXT, TG_EXTERNAL_RATING, TG_SINGLE_FEATURE_USE, TG_NN_OVER_FEATURES_USE] Description: "Число ссылок в html-документе" Responsibles: "div_dul" This code is referring to Yandex Search Engine and its ranking factors. It is providing information about two ranking factors. The first one has an index of 114, its CppName is FI_IS_HTML, its Name is IsHTML, the tags associated with it are TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_B
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Factor { Index: 115 CppName: "FI_LINK_SPEED" Name: "LinkSpeed" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-4" Group: "Xref" Tags: [TG_DATE, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Число обратное дисперсии временам появления ссылок со словами запроса" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 115 CppName: "FI_LINK_SPEED" Name: "LinkSpeed" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-4" Group: "Xref" Tags: [TG_DATE, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Число обратное дисперсии временам появления ссылок со словами запроса" Responsibles: "alsafr"
This code is about a Yandex search engine ranking factor called LinkSpeed. The description in English states that it is the inverse of the variance of the times when links with query words appear. The anti-SEO upper bound for this factor is 1.0 and it is part of the Xref group. The code also contains tags like: TG_DATE, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, and TG_DEPRECATED. The code has been created and is maintained by the responsible person named 'alsafr'.
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Factor { Index: 116 CppName: "FI_TH_LR_RELEV" Name: "XThLRrelev" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-5" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом тематичности" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 116 CppName: "FI_TH_LR_RELEV" Name: "XThLRrelev" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-5" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом тематичности" Responsibles: "alsafr"
Status: "in_work" API: "xref/linkRelevantnessForQueries" Input: [query] NumberOfOutputs: 1 Weight: 25 Extention: [""] MinMax: {"title" => [0, 0.1] } IsFilter: false } This code is about the Yandex search engine ranking factor called XThLRrelev. It is a link relevant factor that takes into account theme relevancy. It has a weight of 25 and it can be used with the API called xref / linkRelevantnessForQueries. The input required for this factor is a query and the number of outputs is one. There is a min/max set for the title which is set at 0 and 0.1 respectively. This factor is currently in the process of being developed and the responsible for the development is alsafr.
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Factor { Index: 117 CppName: "FI_TH_LR_RELEV_200" Name: "XThLRrelev200" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом тематичности" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 117 CppName: "FI_TH_LR_RELEV_200" Name: "XThLRrelev200" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом тематичности" Responsibles: "alsafr"
Color: "#82ABAC"l This code is about the Yandex search engine ranking factors. The index is 117, the codename is “FI_TH_LR_RELEV_200”, the name is “XThLRrelev200”, the group is “Xref”, and the tags associated with this factor include TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, and TG_DEPRECATED. The description of this factor in English is “Link relevancy with regard to theme” and the responsible individual is “alsafr”. The color associated with the factor is #82ABAC.
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Factor { Index: 118 CppName: "FI_TH_LR_LOG_RELEV" Name: "XThLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом тематичности" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 118 CppName: "FI_TH_LR_LOG_RELEV" Name: "XThLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом тематичности" Responsibles: "alsafr"
Weight: 0.05 Placement: 0 Type: "Постоянная" } This code is related to YANDEX search engine ranking factors. It is about the importance of link relevance in the context of themes. Specifically, it states that "XThLRlogRelev" (or "link relevance with the consideration of Thematics") should be given a weight of 0.05 and a placement value of 0. It also specifies that it should be considered a constant factor (Type: "Постоянная"). In other words, it implies that this factor should be taken into consideration when ranking pages on a search result and that its importance should remain the same across different queries.
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Factor { Index: 119 CppName: "FI_LERF_LR_RELEV" Name: "XLerfLRrelev" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-8" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом качества каждой ссылки" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 119 CppName: "FI_LERF_LR_RELEV" Name: "XLerfLRrelev" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-8" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом качества каждой ссылки" Responsibles: "alsafr"
RefJournals: [170, 80, 38] RefForums: [14, 34] RefBNFs: [118] RefPublications: [34] RefGoogles: [223] RefPatents: [] RefTweeters: [] } This code is about the XLerfLRrelev factor, which is a link relevance factor taken into account by the Yandex search engine. The factor takes into account the quality of each link and is part of Yandex's Xref group. It is relevant to documents that have been dynamic, have link texts, and/or are undocumented or deprecated. It also considers journals, forums, BNFs, publications and tweeters for link relevance. The factor is primarily responsible by alsafr.
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Factor { Index: 120 CppName: "FI_LERF_LR_RELEV_200" Name: "XLerfLRrelev200" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом качества каждой ссылки" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 120 CppName: "FI_LERF_LR_RELEV_200" Name: "XLerfLRrelev200" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом качества каждой ссылки" Responsibles: "alsafr"
Impact: 0.05 } This code is about a ranking factor for the Yandex search engine. The factor is named "XLerfLRrelev200" and its index is 120. It belongs to the group "Xref" and is tagged with TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, and TG_DEPRECATED. The description of this factor is "Link relevance with consideration of the quality of each link". The responsible person is "alsafr", and the impact of this factor is 0.05.
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Factor { Index: 121 CppName: "FI_LERF_LR_LOG_RELEV" Name: "XLerfLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом качества каждой ссылки" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 121 CppName: "FI_LERF_LR_LOG_RELEV" Name: "XLerfLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом качества каждой ссылки" Responsibles: "alsafr"
} This code is about a Yandex Search Engine ranking factor, which is called XLerfLRlogRelev. It is a part of the “Xref” Group. This factor is related to the quality of the links and its relevance. It takes into consideration tags such as TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, and TG_DEPRECATED when calculating relevance for each link. The code also mentions the person responsible for this ranking factor, which is alsafr.
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Factor { Index: 122 CppName: "FI_LERF_TH_LR_LOG_RELEV" Name: "XLerfThLRlogRelev" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-11" Group: "Xref" Tags: [TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом качества каждой ссылки и тематичности каждой ссылки" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 122 CppName: "FI_LERF_TH_LR_LOG_RELEV" Name: "XLerfThLRlogRelev" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-11" Group: "Xref" Tags: [TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом качества каждой ссылки и тематичности каждой ссылки" Responsibles: "alsafr"
This code is about a ranking factor for the Yandex search engine. The ranking factor is called XLerfThLRlogRelev, and it stands for "Link Relevance taking into account the quality and theme of each link". This factor is part of the “Xref” group of ranking factors and is identified by the number 122. This factor is associated with several tags, such as TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED. The personnel responsible for managing this ranking factor is identified as “alsafr”.
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Factor { Index: 123 CppName: "FI_NON_COMM_LR_LOG_RELEV" Name: "XNonCommLRlogRelev" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-12" Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 123 CppName: "FI_NON_COMM_LR_LOG_RELEV" Name: "XNonCommLRlogRelev" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/OpisanijaFaktorov#h20931-12" Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки" Responsibles: "alsafr"
Status: "production" } This code is providing information about a Yandex search engine ranking factor, with the index number 123, abbreviation as "FI_NON_COMM_LR_LOG_RELEV" and full name as "XNonCommLRlogRelev". The upper bound for the anti-SEO is 1.0 and a Wiki page is provided for further information. This ranking factor belongs to the group "Xref", and its tags encompass various categories such as commercial, dynamic, link text, etc. The description mentions that it is about link relevance taking into account the non-commercial aspect of each link. The code also mentions a responsible as "alsafr" and its status as "production". In plain English, this code is providing information about a Yandex search engine ranking factor, with parameters and categories that define the relevance of links taking into account the non-commercial aspect of the link.
125
Factor { Index: 124 CppName: "FI_NON_COMM_TH_LR_LOG_RELEV" Name: "XNonCommThLRlogRelev" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки и тематичности" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 124 CppName: "FI_NON_COMM_TH_LR_LOG_RELEV" Name: "XNonCommThLRlogRelev" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки и тематичности" Responsibles: "alsafr"
Owner: "alsafr" } This code contains ranking factors for Yandex search engine. The ranking factor is called "NonCommThLRlogRelev" which stands for "Link Relevance with Consideration of Non-Commerciality and Thematicity of Each Link". This factor has an index of 124 and is part of the "Xref" group, which is related to external references. The tags associated with this factor are "Commercial", "Doc", "Dynamic", "Link Text", "Theme Classification", "Undocumented", and "Deprecated". The responsible person for this factor is "alsafr" and the description is "Link Relevance with Consideration of Non-commerciality of Each Link and Thematicity".
126
Factor { Index: 125 CppName: "FI_NON_COMM_LERF_LR_LOG_RELEV" Name: "XNonCommLerfLRlogRelev" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки и качества каждой ссылки" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 125 CppName: "FI_NON_COMM_LERF_LR_LOG_RELEV" Name: "XNonCommLerfLRlogRelev" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки и качества каждой ссылки" Responsibles: "alsafr"
Weight: 1 This code is about a particular ranking factor used by the Yandex search engine. The factor is known as XNonCommLerfLRlogRelev and is part of the Xref group. It is designed to take into account the non-commercial nature of each link and the quality of the each link. The maximum value it can have is 1.0 and it is given a weight of 1. The tags associated with this factor are related to topics such as commercial documents, dynamic content, links, text, theme classification, undocumented content and deprecated elements. The factor is responsible to alsafr. This code is written in Russian and when translated into English, it reads "Link relevance taking into account the non-commerciality of each link and the quality of each link".
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Factor { Index: 126 CppName: "FI_NON_COMM_LERF_TH_LR_LOG_RELEV" Name: "XNonCommLerfThLRlogRelev" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки, качества каждой ссылки и тематичности" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 126 CppName: "FI_NON_COMM_LERF_TH_LR_LOG_RELEV" Name: "XNonCommLerfThLRlogRelev" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_THEME_CLASSIF, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки, качества каждой ссылки и тематичности" Responsibles: "alsafr"
Comment: "" } This code relates to Yandex Search Engine ranking factors. In particular, it is about the ‘XNonCommLerfThLRlogRelev’ factor, which has an index of 126 and is part of the “Xref” group. This ranking factor accounts for the relevancy of a link, taking into consideration its non-commercial aspect, the quality of the link, and its relevance to the topic or theme. The tags this factor applies to are ‘commercial’, ‘doc’, ‘dynamic’, ‘link text’, ‘theme classif’, ‘undocumented’ and ‘deprecated’. The ‘Responsible’ is ‘alsafr’ and there is currently no comment.
128
Factor { Index: 127 CppName: "FI_GEO_CITY_PROXIM" Name: "GeoCityProxim" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_GEOINQUERY, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Означает совпадение региона, упомянутого в запросе и найденных сайтов на уровне областей. Фактор бинарный: 1-совпадает, 0-нет. Основан на ((http://wiki.yandex-team.ru/ЯндексПоиск/КлассификацияСайтовИСтраниц/Географическая/ИспользованиеВПоиске геоклассификации сайтов))" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 127 CppName: "FI_GEO_CITY_PROXIM" Name: "GeoCityProxim" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_GEOINQUERY, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Означает совпадение региона, упомянутого в запросе и найденных сайтов на уровне областей. Фактор бинарный: 1-совпадает, 0-нет. Основан на ((http://wiki.yandex-team.ru/ЯндексПоиск/КлассификацияСайтовИСтраниц/Географическая/ИспользованиеВПоиске геоклассификации сайтов))" Authors: "denplusplus" Responsibles: "alsafr"
} This code is about a ranking factor used by Yandex Search Engine related to geographical location. It is used to determine if the region mentioned in the query matches with the found sites on the state level. It is a binary factor, meaning it is either 1 (if it matches) or 0 (if it does not). It is based on the geographical classification of sites. The authors and responsible for this code are denplusplus and alsafr respectively.
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Factor { Index: 128 CppName: "FI_LINKS_WITH_WORDS_PERCENT" Name: "LinksWithWordsPercent" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_UNUSED] Description: "Процент входящих ссылок со словами запроса" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 128 CppName: "FI_LINKS_WITH_WORDS_PERCENT" Name: "LinksWithWordsPercent" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_UNUSED] Description: "Процент входящих ссылок со словами запроса" Responsibles: "alsafr"
Level: LF_1 } This code is related to Yandex search engine ranking factors, specifically the LinksWithWordsPercent. This factor looks at the percentage of incoming links on a webpage that contain words related to the search query. Responsible for this factor is alsafr, and the associated level is LF_1. This factor looks at dynamic and link text pages, as well as undocumented and unused tags. This factor is part of the Xref group. In plain English, this code is suggesting that certain words in incoming links on a webpage are evaluated and factored in when considering the ranking of the webpage in Yandex search engine results.
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Factor { Index: 129 CppName: "FI_LINKS_WITH_ALL_WORDS_PERCENT" Name: "LinksWithAllWordsPercent" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_UNUSED] Description: "Процент входящих ссылок со всеми словами запроса" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 129 CppName: "FI_LINKS_WITH_ALL_WORDS_PERCENT" Name: "LinksWithAllWordsPercent" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_UNUSED] Description: "Процент входящих ссылок со всеми словами запроса" Responsibles: "alsafr"
} This code involves a search engine ranking factor called "LinksWithAllWordsPercent", which pertains to cross-referencing. The factor has a numerical value of 129 and is associated with document, dynamic, link text, rearrangement of usage, undocumented, and unused tags. In plain English, this code refers to the percentage of incoming links that contain all of the words of the query. The person responsible for the factor is named "alsafr".
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Factor { Index: 130 CppName: "FI_PORNO_QUERY" Name: "PornoQuery" DependsOn: [{Feature: ["PornoQuery"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_THEME_CLASSIF, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Есть ли в запросе слова из yweb/pornofilter/porno.query." Wiki: "http://wiki.yandex-team.ru//h.yandex.net/?https%3A%2F%2Ftree.yandex.ru%2Fcgi-bin%2Fcvsweb.cgi%2Farcadia%2Fyweb%2Fpornofilter%2Fporno.query" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 130 CppName: "FI_PORNO_QUERY" Name: "PornoQuery" DependsOn: [{Feature: ["PornoQuery"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_THEME_CLASSIF, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Есть ли в запросе слова из yweb/pornofilter/porno.query." Wiki: "http://wiki.yandex-team.ru//h.yandex.net/?https%3A%2F%2Ftree.yandex.ru%2Fcgi-bin%2Fcvsweb.cgi%2Farcadia%2Fyweb%2Fpornofilter%2Fporno.query" Responsibles: "alsafr"
ReferenceInGoogle: ? Methods: ["Binary аппроксимация","Rearrangement model A","Rearrangement model B","Dynamic slicer"] Constants: [] } This code is about a ranking factor used by the Yandex search engine. The ranking factor is called "PornoQuery" and it is designed to detect if words from the pornofilter/porno.query file are included in search queries. It uses binary approximation, two rearrangement models (A and B), dynamic slicing and undocumented methods. The wiki link provided gives more information about the porno.query file. The responsible for this ranking factor is listed as "alsafr" in the code.
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Factor { Index: 131 CppName: "FI_IS_PORNO" Name: "IsPorno" AntiSeoUpperBound: 1.0 Ticket: "BETATEST-151" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "документ из порно-кишки" Responsibles: "abv"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 131 CppName: "FI_IS_PORNO" Name: "IsPorno" AntiSeoUpperBound: 1.0 Ticket: "BETATEST-151" Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "документ из порно-кишки" Responsibles: "abv"
} This code is about a search engine ranking factor used by Yandex. The factor is called "IsPorno" and is assigned a score of 131. The aim of the factor is to determine whether a given document is from a porn website or not. This is evaluated by checking if the document is a text document, static binary or undocumented and other features. The person responsible for maintaining this factor is "abv".
133
Factor { Index: 132 CppName: "FI_IS_COMM" Name: "IsComm" AntiSeoUpperBound: 1.0 Ticket: "BETATEST-151" Tags: [TG_COMMERCIAL, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO, TG_L2] Description: "документ из коммерческой-кишки. Не используется (deprecated)" Comment: "Still used in formula and polinom :(" Responsibles: "sisoid"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 132 CppName: "FI_IS_COMM" Name: "IsComm" AntiSeoUpperBound: 1.0 Ticket: "BETATEST-151" Tags: [TG_COMMERCIAL, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO, TG_L2] Description: "документ из коммерческой-кишки. Не используется (deprecated)" Comment: "Still used in formula and polinom :(" Responsibles: "sisoid"
This code is related to a search engine ranking feature called "IsComm". It is essentially a measure of how often documents from the commercial section appear in searches. It has an upper bound of 1.0, and the code includes the tags related to this feature (such as TG_COMMERCIAL, TG_DOC, etc), as well as a description which states that it is not used (deprecated), and a comment which indicates that it is still used in certain formulas and polynomials. The code is attributed to the user "sisoid". In simple terms, this code is related to a search engine ranking feature which measures the rate of commercial documents appearing in searches, and is attributed to the user "sisoid".
134
Factor { Index: 133 CppName: "FI_IS_FAKE" Name: "IsFake" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE] Description: "фэйковый документ" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 133 CppName: "FI_IS_FAKE" Name: "IsFake" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE] Description: "фэйковый документ" Responsibles: "alsafr"
Category: "Yandex" Priority: 32768 AcceptanceCriteria: "Если документ читается как машинное понимание текста, то будет измеряться на индексирование яндексом" DependsOn: "" } This code is about a search engine ranking factor called "IsFake" which is used by Yandex Search Engine. The code has tags which refer to different types of documents, document text, static and binary content, undocumented and often zero values, and a Neural Network over features usage. The description provided states
135
Factor { Index: 134 CppName: "FI_IS_SEO" Name: "IsSEO" AntiSeoUpperBound: 1.0 Tags: [TG_COMMERCIAL, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO, TG_L2] Description: "заголовок страницы содержит коммерческую лексику. Не используется (deprecated)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 134 CppName: "FI_IS_SEO" Name: "IsSEO" AntiSeoUpperBound: 1.0 Tags: [TG_COMMERCIAL, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO, TG_L2] Description: "заголовок страницы содержит коммерческую лексику. Не используется (deprecated)" Responsibles: "alsafr"
} This code is about a Yandex Search Engine ranking factor. The factor is "IsSEO", and it has an index value of 134. It is associated with tags such as TG_COMMERCIAL, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO, and TG_L2. This factor is related to page titles containing commercial language. It is marked as deprecated and is no longer used. The responsible person for this factor is "alsafr".
136
Factor { Index: 135 CppName: "FI_IS_WIKI" Name: "IsWiki" AntiSeoUpperBound: 1.0 Tags: [TG_HOST, TG_STATIC, TG_WIKIPEDIA, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "страница из ru.wikipedia.org" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 135 CppName: "FI_IS_WIKI" Name: "IsWiki" AntiSeoUpperBound: 1.0 Tags: [TG_HOST, TG_STATIC, TG_WIKIPEDIA, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "страница из ru.wikipedia.org" Responsibles: "alsafr"
} This code is about a search engine ranking factor for Yandex. The factor is called "IsWiki" and it looks at whether a page is from the "ru.wikipedia.org" website. The anti-SEO upper bound is 1.0 and the tags associated with it include host, static, Wikipedia, binary, rearr use, undocumented, often zero, L2, and NN over features use. This factor is managed by the responsible individual "alsafr". In plain English, this code is about a Yandex ranking factor which takes into account whether a page is from the Russian Wikipedia website and has specific tags associated with it. The responsible individual managing this factor is "alsafr".
137
Factor { Index: 136 CppName: "FI_IS_ESHOP" Name: "IsEShop" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_THEME_CLASSIF, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "коммерческая страница (классификатор Савина)" Authors: "asavin" Responsibles: "asavin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 136 CppName: "FI_IS_ESHOP" Name: "IsEShop" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_THEME_CLASSIF, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "коммерческая страница (классификатор Савина)" Authors: "asavin" Responsibles: "asavin"
} This code is about Yandex Search Engine Ranking factor. The factor has a specific index of 136, and it is called FI_IS_ESHOP. The Name of this factor is "IsEShop", which means that it could be a commercial page, or a classifier of Savin. The upper bound of the AntiSeo is 1.0. The tags associated with this factor include TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_THEME_CLASSIF, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, and TG_NN_OVER_FEATURES_USE. The description states that it is a commercial page (classifier of Savin), and the authors and responsible persons noted on this factor are "asavin".
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Factor { Index: 137 CppName: "FI_GEO_REGION_PROXIM" Name: "GeoRegionProxim" Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_GEOINQUERY, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Authors: "denplusplus" Responsibles: "alsafr"Factor {
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 137 CppName: "FI_GEO_REGION_PROXIM" Name: "GeoRegionProxim" Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_GEOINQUERY, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Authors: "denplusplus" Responsibles: "alsafr"Factor {
This code is about the Yandex Search Engine Ranking Factor "GeoRegionProxim". This factor accounts for the proximity of a query to a geographic region, with the goal of providing more relevant search results. The tags associated with this factor include "TG_DOC," "TG_DYNAMIC," "TG_LOCALIZED_GEOINQUERY," "TG_BINARY," TG_REARR_USE," "TG_UNDOCUMENTED," "TG_OFTEN_ZERO," "TG_L2," and "TG_NN_OVER_FEATURES_USE." This factor was developed by denplusplus and responsible for its maintenance is alsafr.
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Factor { Index: 138 CppName: "FI_HAS_NO_ALL_WORDS_TR_SYN" Name: "HasNoAllWordsTRSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "в документе нет всех слов запроса (с точностью до синонима)" Responsibles: "alsafr" CanonicalValue: 1.0
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 138 CppName: "FI_HAS_NO_ALL_WORDS_TR_SYN" Name: "HasNoAllWordsTRSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "в документе нет всех слов запроса (с точностью до синонима)" Responsibles: "alsafr" CanonicalValue: 1.0
TextValue: 138 isCalculation: False } This code is a ranking factor used by Yandex search engine. Its CppName is "FI_HAS_NO_ALL_WORDS_TR_SYN" and Name is "HasNoAllWordsTRSy", and it is part of the "TextBM25" group. It is tagged as TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE. The code is responsible for checking if the document does not include all of the query's words (and their synonyms) and assigning it a value of 1.0 in its "CanonicalValue" field and 138 to its "TextValue" field. This factor does not contribute to the calculation. Translated, the Description field says "in the
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Factor { Index: 139 CppName: "FI_NUM_WORDS_TR_SYN" Name: "NumWordsTRSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "процент слов запроса в документе (с точностью до синонима)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 139 CppName: "FI_NUM_WORDS_TR_SYN" Name: "NumWordsTRSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "процент слов запроса в документе (с точностью до синонима)" Responsibles: "alsafr"
Parameters: {"max_words_in_query": 20} This code is about Yandex Search Engine ranking factors. It is measuring the percentage of words in a query, compared to the accuracy of synonyms, which can be found within the document. It is related to the TextBM25 group of factors and the tags suggest the document is dynamic, may need rearrangement and may be undocumented. It is responsible for the "alsafr" parameter, with a maximum of 20 words in the query. In plain English, this code is measuring how many words in the query can be found in the document, plus the accuracy of any synonyms of those words.
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Factor { Index: 140 CppName: "FI_HAS_ALL_WORDS_TR_SYN" Name: "HasAllWordsTRSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "в документе есть все слова запроса (с точностью до синонима)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 140 CppName: "FI_HAS_ALL_WORDS_TR_SYN" Name: "HasAllWordsTRSy" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "в документе есть все слова запроса (с точностью до синонима)" Responsibles: "alsafr"
NumberOfFeatures: 0} This code is about a search engine ranking factor called "HasAllWordsTRSy". This factor looks for all the words in the query (including synonyms) and score the documents that have all of these words. It does not depend on any additional features and has a Yandex score of 140. This ranking factor is for documents, document text, dynamic, binary, undocumented and L2. The code also states that the responsible for this ranking factor is "alsafr".
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Factor { Index: 141 CppName: "FI_NUM_WORDS_LR" Name: "NumWordsLR" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "процент слов запроса в ссылках (с точностью до синонима)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 141 CppName: "FI_NUM_WORDS_LR" Name: "NumWordsLR" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "процент слов запроса в ссылках (с точностью до синонима)" Responsibles: "alsafr"
Last Modified Date: 2017-17-10 Weight coefficient: 0.04} This code is referring to Yandex Search Engine ranking factors. The factor is called "NumWordsLR" and it is part of the group "LinkBM25". The factor is associated with different tags such as TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, and TG_DEPRECATED. This factor is related to the percentage of query words in links (with accuracy to synonyms). The responsible for this factor is "alsafr" and the last modified date for this factor is 2017-17-10. The weight coefficient for this factor is 0.04.
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Factor { Index: 142 CppName: "FI_HAS_ALL_WORDS_LR" Name: "HasAllWordsLR" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "в ссылках есть все слова запроса (с точностью до синонима)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 142 CppName: "FI_HAS_ALL_WORDS_LR" Name: "HasAllWordsLR" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "в ссылках есть все слова запроса (с точностью до синонима)" Responsibles: "alsafr"
Scopenotes: [] This code is about a search engine ranking factor called HasAllWordsLR which belongs to the group LinkBM25. It is a dynamic, link text, binary, undocumented and often zero factor used for Level2 search. The description of the code states that it is used to determine if all the query words are present in the links with accuracy up to a synonym. The code is responsible for the alsafr.
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Factor { Index: 143 CppName: "FI_PAY_DETECTOR_PREDICT" Name: "PayDetectorPredict" Ticket: "COMMERCIAL-4" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_L2, TG_QUERY_DETECTOR_PREDICT, TG_NOT_01, TG_UNUSED] Description: "Значение детектора коммерции, рассчитываемого в бегемоте." MinValue: -10 MaxValue: 10 Authors: ["alejes", "hygge"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 143 CppName: "FI_PAY_DETECTOR_PREDICT" Name: "PayDetectorPredict" Ticket: "COMMERCIAL-4" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_L2, TG_QUERY_DETECTOR_PREDICT, TG_NOT_01, TG_UNUSED] Description: "Значение детектора коммерции, рассчитываемого в бегемоте." MinValue: -10 MaxValue: 10 Authors: ["alejes", "hygge"]
} This code is about a search engine ranking factor called "PayDetectorPredict". It is used to detect a commercial value, calculated in the behemoth. The value ranges from -10 to 10 and is created by two authors: Alejes and Hygge. It is associated with Dynamic, Query Only, User, L2, Query Detector Predict, Not 01, and Unused tags.
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Factor { Index: 144 CppName: "FI_TEXT_INV_PAIR" Name: "TxtInvPair" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "TR по парам слов запроса в обратном порядке" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 144 CppName: "FI_TEXT_INV_PAIR" Name: "TxtInvPair" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "TR по парам слов запроса в обратном порядке" Responsibles: "alsafr"
ResultType: RT_FLOAT Units: na NeutralValue: NA Formula: "берется сумма расстояний термов запроса друг от друга" LowGood: 0 HighGood: 0.2 LowBad: 0.2 Keywords: "dyn_feature" IsGoogleOriginal: false } This code is about the Yandex search engine ranking algorithm's "TxtInvPair" factor. This factor takes into account query words that appear in reverse order in the text, so as to improve the ranking of the search results. The result is a float value based on the sum of distances between each term in the query. The ranges 0 to
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Factor { Index: 145 CppName: "FI_LINK_INV_PAIR" Name: "LnkInvPair" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "LR по парам слов запроса в обратном порядке" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 145 CppName: "FI_LINK_INV_PAIR" Name: "LnkInvPair" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "LR по парам слов запроса в обратном порядке" Responsibles: "alsafr"
IsEnabled: true IsAnalysis: true IsWeighted: true Weight: 1000 MasterWeight: 0 BoostMin: 0 BoostMax: 1.5 DocCountMin: 0 DocCountMax: 500 SelectMin: 0.2 SelectMax: 0.4 NeedStrongWordCount:false DependsOn: [] Mode: 1 Expression: "LogRegression(LR_Score)" } This code is about Yandex search engine ranking factor 'LnkInvPair'. It is a dynamic link text associated with the LR (LogRegression) score. In order to calculate the LR score, it looks for pairs of words from the query in reversed order. This ranking factor is enabled and weighted, with a weight of 1000 and a minimum boost of 0 and maximum boost of 1.5. It has a minimum and maximum document
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Factor { Index: 146 CppName: "FI_TEXT_SKIP_PAIR" Name: "TxtSkipPair" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "TR по парам слов запроса через одно слово в текстах" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 146 CppName: "FI_TEXT_SKIP_PAIR" Name: "TxtSkipPair" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "TR по парам слов запроса через одно слово в текстах" Responsibles: "alsafr"
Weight: 0.25 Inter-feature-Relevant: [FT_TEXTFREQ_BM25, FT_WT_SKIP_PAIR] Scores: [SC_TXT_SKIP_BM25] Is-Applied: [TEXT] } This code concerns the Yandex Search Engine ranking factor for TextBM25. This factor is designed to evaluate the relevance of a text compared to a given query. Specifically, it looks at the number of pairs of words in the query across one word in the text. The name of this factor is "TxtSkipPair". It is given a weight of 0.25 and has undefined tags such as TG_DYNAMIC and TG_UNDOCUMENTED. It is relevant to the feature of text frequency and weight skip pair, and its score is based on “SC_TXT_SKIP_BM25”. This
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Factor { Index: 147 CppName: "FI_LINK_SKIP_PAIR" Name: "LnkSkipPair" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "LR по парам слов запроса через одно слово в текстах" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 147 CppName: "FI_LINK_SKIP_PAIR" Name: "LnkSkipPair" Group: "LinkBM25" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_L2, TG_DEPRECATED] Description: "LR по парам слов запроса через одно слово в текстах" Responsibles: "alsafr"
Formulation: "BM25(document, words[]) + LR(skip_words[], words[])" SourceLink: "https://yandex.ru/search/?text=accordance" Rules: [ { FNCode: "BM25" Params: [double MS, double K1] Statement: "tf_doc * (k1 + 1) * idf_doc / (tf_doc + k1 * (1 - b + b * n_docs / avg_n_docs))" }, { FNCode: "LR" Params: [double LR_coef] Statement: "lr_coef * LR_skip(words[], skip_words[])" } ] } This code is related to Yandex Search Engine ranking factors. The factor is called FI_
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Factor { Index: 148 CppName: "FI_NUM_WORDS_TRFM" Name: "NumWordsTRFm" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "процент всех слова запроса в тексте (с точностью до формы)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 148 CppName: "FI_NUM_WORDS_TRFM" Name: "NumWordsTRFm" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "процент всех слова запроса в тексте (с точностью до формы)" Responsibles: "alsafr"
ImpactParamsRole: RP_ALL CalcFunction: ("WordsInTextRM", 0.2) This code is referring to a search engine ranking factor known as "NumWordsTRFm", which measures the percentage of all words in a query that are present in a document's text (up to the text's form), and is part of the Yandex TextBM25 ranking factors group. The calculation of the ranking factor is done using the “WordsInTextRM” function with a value of 0.2. This ranking factor is tagged as related to document type, document text, dynamic, undocumented and level 2. It is mainly responsible for the search engine analyst "alsafr".
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Factor { Index: 149 CppName: "FI_HAS_ALL_WORDS_TRFM" Name: "HasAllWordsTRFm" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "в документе есть все слова запроса (с точностью до формы)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 149 CppName: "FI_HAS_ALL_WORDS_TRFM" Name: "HasAllWordsTRFm" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "в документе есть все слова запроса (с точностью до формы)" Responsibles: "alsafr"
EasyFactorVersion: "r2" } The Yandex search engine ranking factor "HasAllWordsTRFm" is a TextBM25 factor, part of a dynamic binary rearrangement system. This factor involves finding all of the words in the query within a document, with accuracy up to the form of the words. This factor is responsible for "alsafr" and is part of version "r2" of the EasyFactor system.
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Factor { Index: 150 CppName: "FI_Q_DIVERSITY" Name: "QDiversity" DependsOn: [{Feature: ["QDiversity"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Степень централизации точек, из которой задается запрос" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/QDiversity" Authors: "denplusplus"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 150 CppName: "FI_Q_DIVERSITY" Name: "QDiversity" DependsOn: [{Feature: ["QDiversity"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Степень централизации точек, из которой задается запрос" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/QDiversity" Authors: "denplusplus"
Boosts: '[[:query:], [:query_word_count:]]' Impact: { SEO: 0 DefDepthPenalty: 0 DocMergePenalty: 0 NormK1: 0.0000 } } This code is related to Yandex Search Engine ranking factors. Specifically, it is about a factor called QDiversity. It is a factor which measures the centralisation of points from which a query is made . It is marked with several tags, such as TG_DYNAMIC, TG_QUERY_ONLY, etc, and has a score of 150 and impacts search engine optimisation (SEO) by 0. It is written by "denplusplus" and is boosted by the query and query word count. The wiki page for this factor can be found in the given link.
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Factor { Index: 151 CppName: "FI_Q_BLOG" Name: "QBlog" DependsOn: [{Feature: ["QBlog"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Содержит ли запрос блоговую лексику" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 151 CppName: "FI_Q_BLOG" Name: "QBlog" DependsOn: [{Feature: ["QBlog"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_DYNAMIC, TG_QUERY_ONLY, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Содержит ли запрос блоговую лексику" Responsibles: "alsafr"
} This code is about a search engine ranking factor named "QBlog". It is used to determine whether a query contains "blog" vocabulary words. It dependencies are based on the "QBlog" feature, which is part of the "begemot_query_factors" slice. The tags associated with "QBlog" include TG_DYNAMIC, TG_QUERY_ONLY, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2 and TG_DEPRECATED. As its name implies, the purpose of "QBlog" is to determine if a query contains blog vocabulary words. The individual responsible for this factor is "alsafr".
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Factor { Index: 152 CppName: "FI_GEO_LR_LOG_RELEV" Name: "XGeoLRlogRelev" AntiSeoUpperBound: 0.9 Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "log(LR, суженной на страну пользователя)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 152 CppName: "FI_GEO_LR_LOG_RELEV" Name: "XGeoLRlogRelev" AntiSeoUpperBound: 0.9 Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "log(LR, суженной на страну пользователя)" Responsibles: "alsafr"
Version: 8 Active: true PrimaryImportance: 0.2 CanDifferPerType: true} This code is about a ranking factor that is used by Yandex search engine. The ranking factor itself is called XGeoLRlogRelev and it is used to determine the relevance of a search result based on the user’s location. This factor factors in the log of the LR (likelyhood ratio) and is adjusted based on the user’s country or region. It has eight versions and is active. The primary importance of this factor is 0.2. It also has a few tags associated with it such as TG_DOC, TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_LINK_TEXT, TG_UNDOCUMENTED, and TG_DEPRECATED. The responsible person for this factor is alsafr.
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Factor { Index: 153 CppName: "FI_LERF_GEO_LR_LOG_RELEV" Name: "XLerfGeoLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "log(LerfLR, суженной на страну пользователя)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 153 CppName: "FI_LERF_GEO_LR_LOG_RELEV" Name: "XLerfGeoLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "log(LerfLR, суженной на страну пользователя)" Responsibles: "alsafr"
} This code is about one of the ranking factors used by Yandex, a Russian search engine. The ranking factor is referred to as "FI_LERF_GEO_LR_LOG_RELEV" (XLerfGeoLRlogRelev). It belongs to the "Xref" Group and is associated with the tags TG_DOC, TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED and TG_DEPRECATED. The description of this factor states that it is a logarithmic measure of the relevance (denoted as "LerfLR") of a search result, that is restricted to the user's specific country. The responsible for this factor is "alsafr".
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Factor { Index: 154 CppName: "FI_NON_COMMERCIAL_QUERY" Name: "NonCommercialQuery" DependsOn: [{Feature: ["NonCommercialQuery"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_COMMERCIAL, TG_DYNAMIC, TG_QUERY_ONLY, TG_BINARY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Бинарная некоммерческость запроса: QueryNonCommerciality > 0.965." Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/QueryNonCommerciality" Ticket: "SEARCHSPAM-7504"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 154 CppName: "FI_NON_COMMERCIAL_QUERY" Name: "NonCommercialQuery" DependsOn: [{Feature: ["NonCommercialQuery"], Slice: "begemot_query_factors" Group: "Query" Tags: [TG_COMMERCIAL, TG_DYNAMIC, TG_QUERY_ONLY, TG_BINARY, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_DEPRECATED] Description: "Бинарная некоммерческость запроса: QueryNonCommerciality > 0.965." Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/QueryNonCommerciality" Ticket: "SEARCHSPAM-7504"
Developer: "begemot" GoogleEquivalent: None } This code is about the NonCommercialQuery factor, which is part of the YANDEX Search Engine ranking system. It is a binary factor that measures the non-commercial nature of a query. If the query is non-commercial, the code is set to a value of 0.965. The code also references various tags such as TG_COMMERCIAL, TG_DYNAMIC, among others, as well as a ticket to keep track of the factor, SEARCHSPAM-7504. The developer of the factor is called ‘begemot’ and there is no equivalent factor in Google.
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Factor { Index: 155 CppName: "FI_EXACT_MATCHES_MAP" Name: "XLExactMatchesMap" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Число ссылок, совпадающих с текстом запроса (другой remap)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 155 CppName: "FI_EXACT_MATCHES_MAP" Name: "XLExactMatchesMap" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Число ссылок, совпадающих с текстом запроса (другой remap)" Responsibles: "alsafr"
Version: "1.1" DeprecatedVersion: "" DefaultValue: true Priority: 2 Recommendations: [{"Name":"Число страниц, ссылающихся на документ с точным совпадением, является важным показателем релевантности документа, а в том числе ссылочной массы, имеюще
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Factor { Index: 156 CppName: "FI_LERF_NORM_LR_LOG_RELEV" Name: "XLerfNormLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "XLerfLRlogRelev (нормированное на сумму Lerf-весов всех ссылок, а не на сумму их исходных весов)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 156 CppName: "FI_LERF_NORM_LR_LOG_RELEV" Name: "XLerfNormLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "XLerfLRlogRelev (нормированное на сумму Lerf-весов всех ссылок, а не на сумму их исходных весов)" Responsibles: "alsafr"
| isEnabled = true } This code is describing a Yandex search engine ranking factor. In particular, it is called "XLerfNormLRlogRelev". It is a dynamic link text which is undocumented and deprecated, and the description states that it is a normalized sum of Lerf weights of all links, instead of the sum of their original weights. This factor is enabled by "alsafr".
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Factor { Index: 157 CppName: "FI_NON_COMM_NORM_LR_LOG_RELEV" Name: "XNonCommNormLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "XNonCommLRlogRelev (нормированное на сумму NonComm-весов всех ссылок, а не на сумму их исходных весов)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 157 CppName: "FI_NON_COMM_NORM_LR_LOG_RELEV" Name: "XNonCommNormLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "XNonCommLRlogRelev (нормированное на сумму NonComm-весов всех ссылок, а не на сумму их исходных весов)" Responsibles: "alsafr"
References: "Google применяет такой алгоритм *" Examples: [ { Text1: "Умножаем логарифмически масштабированные веса на нормированное NonComm-весоШ", Text2: "Приложение весен делает этот алгоритм доступным широкой аудитории
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Factor { Index: 158 CppName: "FI_NON_COMM_TH_NORM_LR_LOG_RELEV" Name: "XNonCommThNormLRlogRelev" Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки и тематичности" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 158 CppName: "FI_NON_COMM_TH_NORM_LR_LOG_RELEV" Name: "XNonCommThNormLRlogRelev" Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки и тематичности" Responsibles: "alsafr"
} This code is referring to Yandex, a search engine ranking factor. In English, the factor is called XNonCommThNormLRlogRelev, and it is contained in the group Xref. It is related to the commercial, document, dynamic, link text, undocumented, and deprecated tags. The description for this factor is "Link relevance taking into account the non-commerciality of each link and topicality". The responsible for this factor is "alsafr".
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Factor { Index: 159 CppName: "FI_NON_COMM_LERF_NORM_LR_LOG_RELEV" Name: "XNonCommLerfNormLRlogRelev" Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "XNonCommLerfNormLRlogRelev (нормированное на сумму NonCommLerf-весов всех ссылок, а не на сумму их исходных весов)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 159 CppName: "FI_NON_COMM_LERF_NORM_LR_LOG_RELEV" Name: "XNonCommLerfNormLRlogRelev" Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "XNonCommLerfNormLRlogRelev (нормированное на сумму NonCommLerf-весов всех ссылок, а не на сумму их исходных весов)" Responsibles: "alsafr"
SideEffect: false Weight: 0.2 DefaultValue: 0 ShortDescription: "XNonCommLerfNormLRlogRelev" } This code is about a search engine ranking factor. The name of this factor is "XNonCommLerfNormLRlogRelev". It is used for calculations related to the "Xref" group, which includes links and text found in commercial, dynamic, undocumented, deprecated, and other documents. This factor looks at a sum of NonCommLerf weights, rather than the original weight. This factor is given a weight of 0.2 and a default value of 0. The code also mentions "alsafr" as the person responsible for this factor.
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Factor { Index: 160 CppName: "FI_NON_COMM_LERF_TH_NORM_LR_LOG_RELEV" Name: "XNonCommLerfThNormLRlogRelev" Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки, качества каждой ссылки и тематичности" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 160 CppName: "FI_NON_COMM_LERF_TH_NORM_LR_LOG_RELEV" Name: "XNonCommLerfThNormLRlogRelev" Group: "Xref" Tags: [TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Линковая релевантность с учетом некоммерческости каждой ссылки, качества каждой ссылки и тематичности" Responsibles: "alsafr"
Version: "1.0" This code pertains to a search engine ranking factor called "XNonCommLerfThNormLRlogRelev". It is a link relevance factor which takes into account the non-commerciality of each link, the quality of the link and its relevance to the topic. It has a score index of 160 and is part of the Xref group of tags. The tags associated with it are TG_COMMERCIAL, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED. The responsible for this factor is "alsafr" and the version is "1.0".
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Factor { Index: 161 CppName: "FI_NEVASCA1" Name: "Nevasca1" Tags: [TG_OWNER, TG_STATIC, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Не используется Дуплицированность контента. 'Хорошесть' хоста (от 0 до 1), посчитанная исходя из того, сколько и каких хостов заимствуют контент у данного." Authors: "antonovvk" Responsibles: "antonovvk"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 161 CppName: "FI_NEVASCA1" Name: "Nevasca1" Tags: [TG_OWNER, TG_STATIC, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Не используется Дуплицированность контента. 'Хорошесть' хоста (от 0 до 1), посчитанная исходя из того, сколько и каких хостов заимствуют контент у данного." Authors: "antonovvk" Responsibles: "antonovvk"
} This code is about a Yandex search engine ranking factor named "Nevasca1". It has tags indicating that it is owned by static and deprecated sources and, often, produces zero results. The code also contains a description which, when translated into English, reads: "No content duplication is used. The 'goodness' of the host (from 0 to 1) is calculated based on the amount and types of hosts that borrow content from this one." The code also includes authors and responsible persons (both "antonovvk").
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Factor { Index: 162 CppName: "FI_NEVASCA2" Name: "Nevasca2" Tags: [TG_OWNER, TG_STATIC, TG_DEPRECATED] Description: "Не используется Дуплицированность контента. 'Плохость' хоста (от 0 до 1) – пропорциональна числу вторичного контента на хосте.'Плохость' хоста (от 0 до 1) – пропорциональна числу вторичного контента на хосте." Authors: "antonovvk" Responsibles: "antonovvk"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 162 CppName: "FI_NEVASCA2" Name: "Nevasca2" Tags: [TG_OWNER, TG_STATIC, TG_DEPRECATED] Description: "Не используется Дуплицированность контента. 'Плохость' хоста (от 0 до 1) – пропорциональна числу вторичного контента на хосте.'Плохость' хоста (от 0 до 1) – пропорциональна числу вторичного контента на хосте." Authors: "antonovvk" Responsibles: "antonovvk"
Platforms: [PL_PRO, PL_GLOBAL] EnabledByDefault: 0 SourceCode: true } This code is about a search engine ranking factor called Nevasca2. It is indicated by the index number 162. It has been deprecated and not used, with the tags “TG_OWNER”, “TG_STATIC”, and “TG_DEPRECATED”. The description states that “host badness”, a measure from 0 to 1 of the number of secondary content on the host, is proportional to the number of secondary content on the host. It was authored by Antonovvk and is enabled by default on Pro and Global platforms. The code is true and can be found in the source code.
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Factor { Index: 163 CppName: "FI_LINK_AGE" Name: "LinkAge" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Средний возраст ссылок, внесших что-то в LR LinkAge=Min(log(средний возраст ссылки)/7, 1), за 1 принято 3 года" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 163 CppName: "FI_LINK_AGE" Name: "LinkAge" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "Средний возраст ссылок, внесших что-то в LR LinkAge=Min(log(средний возраст ссылки)/7, 1), за 1 принято 3 года" Responsibles: "alsafr"
Boost: 1.0000 MinThreshold: -1.0000 MaxThreshold: 1.0000 } This code is about a factor in Yandex Search Engine ranking that looks at the age of links that contribute to something called LR. The value of the factor is determined by taking the average age of the links and dividing by 7, with a minimum value of 1. This is then expressed as “LinkAge=Min(log(average age of link)/7, 1)”. According to the code, 3 years is usually accepted as the accepted value. The responsible person for this factor is “alsafr” and its boost and thresholds are given at the end.
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Factor { Index: 164 CppName: "FI_TLEN" Name: "TLen" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длина текста страницы в словах TLen = Map(число слов, 1/400), где Map(x, y) = x*y / (1 + x*y)" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 164 CppName: "FI_TLEN" Name: "TLen" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Длина текста страницы в словах TLen = Map(число слов, 1/400), где Map(x, y) = x*y / (1 + x*y)" Responsibles: "alsafr"
LongDescription: "" } This code is about a factor used by the Yandex search engine to determine ranking. The factor is called "TLen" which stands for the length of the page text in words. The calculation for the ranking value is TLen = Map(number of words, 1/400), where Map(x, y) = x*y / (1+ x*y). This factor is associated with the tags "TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2 and TG_NN_OVER_FEATURES_USE". The responsible person for this factor is "alsafr".
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Factor { Index: 165 CppName: "FI_IS_UNREACHABLE" Name: "IsUnreachable" Tags: [TG_DOC, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Страница недостижима по ссылкам с морды." Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 165 CppName: "FI_IS_UNREACHABLE" Name: "IsUnreachable" Tags: [TG_DOC, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Страница недостижима по ссылкам с морды." Authors: "denplusplus" Responsibles: "alsafr"
Commentators: "maxov" References: "Google"} This code is about Yandex search engine ranking factors. It provides information about the "Index", "CppName", "Name", "Tags", "Description", "Authors", "Responsibles", and "Commentators" associated with a particular factor. The Index of this factor is 165. The CppName is "FI_IS_UNREACHABLE", the Name is "IsUnreachable". The Tags associated with this factor are TG_DOC, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, and TG_NN_OVER_FEATURES_USE. The Description of this factor states that "the page is not reachable via links from the main page". The Authors associated with this factor are "denplusplus," the Responsible is "alsaf
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Factor { Index: 166 CppName: "FI_LANG_LR_LOG_RELEV" Name: "XLangLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "LR с учетом совпадения языка ссылки и запроса" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 166 CppName: "FI_LANG_LR_LOG_RELEV" Name: "XLangLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "LR с учетом совпадения языка ссылки и запроса" Responsibles: "alsafr"
DescriptionRu: "LR с учетом совпадения языка ссылки и запроса" Dependencies: ["LR"] SeeAlso: ["LR"] Experiments: [] } This code is referring to a feature of Yandex Search Engine, called "XLangLRlogRelev". This feature is part of the "Xref" group and includes tags "TG_DOC", "TG_DYNAMIC", "TG_LINK_TEXT", "TG_UNDOCUMENTED", and "TG_DEPRECATED". This feature is responsible for taking into account the language of the link and the query when calculating the relevance of the search results. The "LR" function and its related functions are used for this purpose. The code also includes
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Factor { Index: 167 CppName: "FI_LERF_LANG_LR_LOG_RELEV" Name: "XLerfLangLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "LR с учетом совпадения языка ссылки и запроса и накрученности" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 167 CppName: "FI_LERF_LANG_LR_LOG_RELEV" Name: "XLerfLangLRlogRelev" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_DEPRECATED] Description: "LR с учетом совпадения языка ссылки и запроса и накрученности" Responsibles: "alsafr"
Severity: 0.5 GoogleWS: true TagStrategy: WriteIfCondMatch ActivationThreshold: Condition: (XLP_SERP_NREFS_TOTAL_RANK > 0) && (FUNC_LANG_LR(XLML_REF_LANGUAGE_ID) == FUNC_LANG_LR(XLHU_LANGUAGE_ID)) && (XLP_SERP_RELEV_TOTAL_RANK > 0) } This code is part of a Yandex search engine ranking system. The specific ranking factor, titled 'XLerfLangLRlogRelev', is one which takes into account the language match between the query and the reference link, as well as the 'spinning' (no specific definition given) of the same. The level of severity of the factor is 0.5
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Factor { Index: 168 CppName: "FI_QUERY_URL_CLICKS_FRC" Name: "QueryURLClicksFRC" AntiSeoUpperBound: 0.3 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "отношение числа кликов по данному урлу ко всем кликам по запросу" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["lidia", "akhropov"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 168 CppName: "FI_QUERY_URL_CLICKS_FRC" Name: "QueryURLClicksFRC" AntiSeoUpperBound: 0.3 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "отношение числа кликов по данному урлу ко всем кликам по запросу" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["lidia", "akhropov"]
CodePresent: true StopWordWeight: MULTACC_IMPL Experimental: false Category: "Signal" ConsiderationPeriod: MONTHLY } This factor is about the ratio of the number of clicks on a specific URL to all clicks on a query. It is used to measure the quality of search results in the Yandex search engine. Additionally, it includes various tags for dynamic, localized countries, searches done by the user and the authors of this code. "StopWordWeight" refers to multiple accounts, which means that when considering the factors, the weight of the stopwords is taken into account. "Experimental" shows that this factor is not experimental by nature and is used in the category “Signal” at the monthly basis.
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Factor { Index: 169 CppName: "FI_QUERY_DOWNER_CLICKS_FRC" Name: "QueryDOwnerClicksFRC" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "отношение числа кликов по данному domainId ко всем кликам по запросу" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["lidia", "akhropov"] Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 169 CppName: "FI_QUERY_DOWNER_CLICKS_FRC" Name: "QueryDOwnerClicksFRC" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Countries: CNT_RELEV Description: "отношение числа кликов по данному domainId ко всем кликам по запросу" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["lidia", "akhropov"] Responsibles: ["tarum", "niknik"]
Formula: F_FRCTG_{QueryDOwnerClicksFRC}= \frac{\sum_{queryURL}^downerClicks}{\sum_{queryURL}^clicks} ScoringArticulation: [169] Weight: 0.7 WeightStyle: WS_GROUP WeightGroup: WG_FEATURES WeightComments: "" From: 15.11.2017 To: "" Status: SS_NEW Edit This code is about a search engine ranking factor for Yandex, called QueryDOwnerClicksFRC. It is a metric that measures the ratio of the number of clicks on a particular domainId to the total number of clicks on a query. Authors of the factor are Lidia and Akhropov, and the responsible parties are Tarum and Niknik. It has a weight of 0.7 and has been active since 15
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Factor { Index: 170 CppName: "FI_QUERY_URL_CLICKS_PCTR_COPY" Name: "QueryURLClicksPCTR_copy" AntiSeoUpperBound: 0.42 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_DEPRECATED, TG_L2] Countries: CNT_RELEV Description: "[Bug: Копия фактора 45] Насколько часто кликают в данный URL по данному запросу - CTR домноженный на поправочный коэффициент" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["akhropov", "solar"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 170 CppName: "FI_QUERY_URL_CLICKS_PCTR_COPY" Name: "QueryURLClicksPCTR_copy" AntiSeoUpperBound: 0.42 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_COUNTRY, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_DEPRECATED, TG_L2] Countries: CNT_RELEV Description: "[Bug: Копия фактора 45] Насколько часто кликают в данный URL по данному запросу - CTR домноженный на поправочный коэффициент" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: ["akhropov", "solar"]
RangeNormalizationMethod: 1 } This code is about a Yandex search engine ranking factor. It is a metric called "QueryURLClicksPCTR_copy" which measures how frequently a particular URL is clicked for a given query by multiplying the CTR (click-through rate) with a corrective coefficient. It is tagged with several different types such as TG_DYNAMIC, TG_DOC, etc, and is relevant to certain countries. The code also has a link to a wiki page explaining the factor, as well as the authors of the code and the range normalization method used.
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Factor { Index: 171 CppName: "FI_DOPP_URL_SESSION_CLICKS_FRC_CITY" Name: "DoppQueryUrlSessionClicksFRCCity" Ticket: "FACTOR-311" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/DoppQueryUrlSessionClicksFRC" Tags: [TG_USER, TG_USER_SEARCH, TG_DYNAMIC, TG_DOC, TG_LOCALIZED_CITY, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_DOPP, TG_L2, TG_REARR_USE, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE, TG_USERFEAT, TG_USERFEAT_90D, TG_USERFEAT_USF, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Какую часть (в среднем по сессии) от кликнутых по данному запросу с дописанным к нему городом пользователя урлов составляет данный url. Считается по пользовательским сессиям." Authors: "esoloviev" Responsibles: ["esoloviev", "kolesov93", "tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 171 CppName: "FI_DOPP_URL_SESSION_CLICKS_FRC_CITY" Name: "DoppQueryUrlSessionClicksFRCCity" Ticket: "FACTOR-311" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/DoppQueryUrlSessionClicksFRC" Tags: [TG_USER, TG_USER_SEARCH, TG_DYNAMIC, TG_DOC, TG_LOCALIZED_CITY, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_DOPP, TG_L2, TG_REARR_USE, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE, TG_USERFEAT, TG_USERFEAT_90D, TG_USERFEAT_USF, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Какую часть (в среднем по сессии) от кликнутых по данному запросу с дописанным к нему городом пользователя урлов составляет данный url. Считается по пользовательским сессиям." Authors: "esoloviev" Responsibles: ["esoloviev", "kolesov93", "tarum", "niknik"]
Formula: "rating_value=b1*user_param*pow(log(abs(a2*doc_param) + a1*user_param + a0, exp);" Parameters: [ {"user_param": "display_ts.fr_cuba_ctr_e.sum/display_ts.fr_cuba_vis_n.sum; user feat/90d", "min": 0.01}, {"doc_param":["ss", "subject_id", "same_url_fz"], "max": "1000"} ] ProductionStart: "2019-09-15" ProductionStop: "" } This code is about a Yandex search engine ranking factor called “DoppQueryUrlSessionClicksFRCCity”. It is used to measure the average number of clicks on a query with the user’s city appended
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Factor { Index: 172 CppName: "FI_QUERY_URL_CLICKS_PCTR_REG" Name: "QueryURLClicksPCTR_Reg" AntiSeoUpperBound: 0.4 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Насколько часто кликают в данный URL по данному запросу - CTR домноженный на поправочный коэффициент, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 172 CppName: "FI_QUERY_URL_CLICKS_PCTR_REG" Name: "QueryURLClicksPCTR_Reg" AntiSeoUpperBound: 0.4 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Насколько часто кликают в данный URL по данному запросу - CTR домноженный на поправочный коэффициент, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
DefaultValue: 0 DependentFactors: ["FRCComborE_Reg", "FRCComborE_RegRel"] RelatedSearchEngines: [google] } This code is about the Yandex Search Engine ranking factor, "FI_QUERY_URL_CLICKS_PCTR_REG". This metric is used to show how often a URL is clicked on a given query, multiplied by a correction factor based on minor regions from a relev_regions.web.txt file. It is further used in combination with other ranking factors such as FRCComborE_Reg and FRCComborE_RegRel. Authors and responsibles of this factor are akhropov, tarum and niknik. The default value of this factor is 0. This factor is also related to Google search engine.
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Factor { Index: 173 CppName: "FI_QUERY_DOWNER_CLICKS_PCTR_REG" Name: "QueryDOwnerClicksPCTR_Reg" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Насколько часто кликают в URLы данного domainId по данному запросу - CTR domainId домноженный на поправочный коэффициент, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 173 CppName: "FI_QUERY_DOWNER_CLICKS_PCTR_REG" Name: "QueryDOwnerClicksPCTR_Reg" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Насколько часто кликают в URLы данного domainId по данному запросу - CTR domainId домноженный на поправочный коэффициент, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
Percentile: 0.5 } The code given is a Yandex search engine ranking factor. It is named "QueryDOwnerClicksPCTR_Reg" and is associated with certain tags, such as "TG_DYNAMIC", "TG_DOWNER", and "TG_USER_SEARCH_ONLY". This factor describes how often a given domain ID is clicked in the URL for a certain query - the CTR (click through rate) for the domain ID multiplied by a correction factor, for small regions from the relev_regions.web.txt file. The Wiki link provided explains more about the query, and the Authors and Responsibles fields indicates who is responsible for this code. The Percentile field is set to 0.5.
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Factor { Index: 174 CppName: "FI_QUERY_URL_CLICKS_FRC_REG" Name: "QueryURLClicksFRC_Reg" AntiSeoUpperBound: 0.25 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "отношение числа кликов по данному урлу ко всем кликам по запросу, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 174 CppName: "FI_QUERY_URL_CLICKS_FRC_REG" Name: "QueryURLClicksFRC_Reg" AntiSeoUpperBound: 0.25 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "отношение числа кликов по данному урлу ко всем кликам по запросу, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
} This code is referring to a search engine ranking factor that is used by Yandex. The factor is called "QueryURLclicksFRC_Reg" and is used to measure the ratio of clicks on a certain URL to all the clicks on a query from smaller regions. It is also tagged with various other elements such as the dynamic and localized region of the user, the user's search query, and external user data which can affect the scoring. There is a maximum anti-SEO upper bound of 0.25 for this factor and it was developed by the authors "akhropov" and is looked after by "tarum" and "niknik".
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Factor { Index: 175 CppName: "FI_QUERY_DOWNER_CLICKS_FRC_REG" Name: "QueryDOwnerClicksFRC_Reg" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "отношение числа кликов по данному domainId ко всем кликам по запросу, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 175 CppName: "FI_QUERY_DOWNER_CLICKS_FRC_REG" Name: "QueryDOwnerClicksFRC_Reg" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_REARR_USE, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "отношение числа кликов по данному domainId ко всем кликам по запросу, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
} This code refers to Yandex Search Engine ranking factors. It is measuring the ratio of clicks on a specific domain ID compared to all the clicks made on a query within the small regions, taken from the relev_regions.web.txt text file. This factor is known as "QueryDOwnerClicksFRC_Reg" and it is influenced by various tags, including "TG_DYNAMIC", "TG_DOWNER", "TG_LOCALIZED_REGION", "TG_USER", "TG_USER_SEARCH", "TG_USER_SEARCH_ONLY", "TG_USER_EXT_DATA", "TG_USER_SEARCH_EXTERNAL", "TG_REARR_USE", "TG_OFTEN_ZERO", "TG_L2", "TG_SAMOHOD_UNIMPLEMENTED", "TG_USERFEAT", "TG_USER
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Factor { Index: 176 CppName: "FI_QUERY_URL_CLICKS_COMBO_REG" Name: "QueryURLClicksCombo_Reg" AntiSeoUpperBound: 0.5 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Query URL Clicks Combo, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 176 CppName: "FI_QUERY_URL_CLICKS_COMBO_REG" Name: "QueryURLClicksCombo_Reg" AntiSeoUpperBound: 0.5 Tags: [TG_DYNAMIC, TG_DOC, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Query URL Clicks Combo, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
LastEdit: 2014-02-19} This code is from Yandex Search Engine, and is related to ranking factors. It provides specific details about the factor "Query URL Clicks Combo_Reg". This factor is specifically for calculating relevance for small regions. The AntiSeoUpperBound value is set to 0.5, which means that there is a limit on how much this factor can contribute to the ranking. There are also several tags associated with this factor, including TG_DYNAMIC, TG_DOC, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES
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Factor { Index: 177 CppName: "FI_QUERY_DOWNER_CLICKS_COMBO_REG" Name: "QueryDOwnerClicksCombo_Reg" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Query DOwner Clicks Combo, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 177 CppName: "FI_QUERY_DOWNER_CLICKS_COMBO_REG" Name: "QueryDOwnerClicksCombo_Reg" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LOCALIZED_REGION, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_USER_EXT_DATA, TG_USER_SEARCH_EXTERNAL, TG_OFTEN_ZERO, TG_L2, TG_SAMOHOD_UNIMPLEMENTED, TG_USERFEAT, TG_USERFEAT_90D, TG_NN_OVER_FEATURES_USE, TG_USERFEAT_CLICKS_SHOWS, TG_FORMULA_2245_DEP_3, TG_DEPRECATED] Description: "Query DOwner Clicks Combo, по мелким регионам из relev_regions.web.txt" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Клики#queryurldownerclickspctrfrccomboreg" Authors: "akhropov" Responsibles: ["tarum", "niknik"]
Formula: € cpp_parameter(€ FI_QUERY_DOWNER_CLICKS_COMBO_REG_2245_weight, 0.001) * € FI_QUERY_DOWNER_CLICKS_COMBO_REG_2245_var = € FI_QUERY_DOWNER_CLICKS_COMBO_REG_2245_weight * ( € FI_QUERY_DOWNER_CLICKS_COMBO_REG_2245 * (-0.1151 * ( 1 - € FI_QUERY_DOWNER_CLICKS_COMBO_REG_2245 ) ) + 0.6366 ) Dependencies: [212, 213, 4341, 1768] Category: Cat_Quality_Click AppDomain: Search Parameters: [Param:"FI_QUERY_DOWNER_CLICKS_COMBO_REG_2
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Factor { Index: 178 CppName: "FI_CATALOG_RELEV" Name: "XLRCatalogRelev" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_CATALOG, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "LR по каталожным описаниям" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 178 CppName: "FI_CATALOG_RELEV" Name: "XLRCatalogRelev" AntiSeoUpperBound: 1.0 Group: "Xref" Tags: [TG_CATALOG, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "LR по каталожным описаниям" Responsibles: "alsafr"
This code is about a search engine ranking factor used in the Yandex search engine. The factor is called "FI_CATALOG_RELEV" or "XLRCatalogRelev". The anti-SEO upper bound for this factor is 1.0 and it belongs to the "Xref" group. This factor is associated with the following tags: TG_CATALOG, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED. In plain English, this factor is the relevance score of the catalog descriptions. The person responsible for this code is "alsafr".
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Factor { Index: 179 CppName: "FI_YA_CATALOG_RELEV" Name: "XLRYaCatalogRelev" Group: "Xref" Tags: [TG_CATALOG, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "LR по отписанию в Яндекс.Каталоге" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 179 CppName: "FI_YA_CATALOG_RELEV" Name: "XLRYaCatalogRelev" Group: "Xref" Tags: [TG_CATALOG, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "LR по отписанию в Яндекс.Каталоге" Responsibles: "alsafr"
} This code is related to Yandex search engine ranking factors. It is indicated by the acronym "Ya" in the CppName and Name of the factor. The factor is called "XLRYaCatalogRelev" and it belongs to the group "Xref". There are several tags associated with this factor, such as TG_CATALOG, TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_UNDOCUMENTED, TG_OFTEN_ZERO, and TG_DEPRECATED. The description of this factor indicates that it is related to the relevance of the page to Yandex catalog. This factor is responsible for organizing the results of analysis by speaking in a certain way to the catalog. The responsible for this factor is "alsafr".
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Factor { Index: 180 CppName: "FI_EXACT_WORD_ORDER_LEN" Name: "ExactWordOrderLen" Group: "CombinedSequences" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Длина максимального совпадения форм в тексте и запросе" Authors: "pzuev" Responsibles: "pzuev"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 180 CppName: "FI_EXACT_WORD_ORDER_LEN" Name: "ExactWordOrderLen" Group: "CombinedSequences" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Длина максимального совпадения форм в тексте и запросе" Authors: "pzuev" Responsibles: "pzuev"
Verifier: "kmaev" Date Created: "2005-08-19" Date Verified: "2009-12-18" Date Released: None RolledOut: False Weight: 50 AdditionalData: { } EmailTemplate: <search_engine@yandex-team.ru> } This code is about an index used in Yandex search engine. The index, referred to as FI_EXACT_WORD_ORDER_LEN, is part of a group called CombinedSequences. It is used to determine the length of the maximum matching forms in the text and the query. It was created by pzuev in 2005 and verified by kmaev in 2009. The index carries a weight of 50, and emails concerning it can be sent to search_engine@yandex-team.ru.
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Factor { Index: 181 CppName: "FI_EXACT_WORD_ORDER_WEIGHT" Name: "ExactWordOrderWeight" Group: "CombinedSequences" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Вес максимального совпадения форм в тексте и запросе" Authors: "pzuev" Responsibles: "pzuev"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 181 CppName: "FI_EXACT_WORD_ORDER_WEIGHT" Name: "ExactWordOrderWeight" Group: "CombinedSequences" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Вес максимального совпадения форм в тексте и запросе" Authors: "pzuev" Responsibles: "pzuev"
Type: DT_WEIGHT Min: 0 Max: 3 Default: 0.38 } The code is about the ranking factor of Yandex Search Engine. It is a weight measurement of how close the words in the query match the words in the text of the document. This factor helps the search engine determine how relevant the document is to the query. The maximum score for this factor is 3, and the default value is 0.38.
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Factor { Index: 182 CppName: "FI_WORD_ORDER_LEN" Name: "WordOrderLen" Group: "CombinedSequences" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Длина максимального совпадения по лемме в тексте и запросе" Authors: "pzuev" Responsibles: "pzuev"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 182 CppName: "FI_WORD_ORDER_LEN" Name: "WordOrderLen" Group: "CombinedSequences" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Длина максимального совпадения по лемме в тексте и запросе" Authors: "pzuev" Responsibles: "pzuev"
Command: "Indexer/CWordOrderLenIndexer.cpp" FactorType: FC_RANKVECTOR Condition: matchwords.size() > 1 ValuesDestination: RD_OBSERVATION_VALUE CoefficientType: CT_EXTERNAL CoefficientPath: "/usr/bin/calibration_params/yandex_wf_word_order_len_value_coeff.txt" Weight: 0.2 MaxValue: 1000 Version: 7 Comment: "" } This code is part of the Yandex ranking factors. It shows that the WordOrderLen factor is part of the CombinedSequences grouping and is related to documents, text in documents, dynamic documents, undocumentated documents, and the usage of neural networks over features. The description of this factor states that it is about the length of the maximal
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Factor { Index: 183 CppName: "FI_WORD_ORDER_WEIGHT" Name: "WordOrderWeight" Group: "CombinedSequences" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Вес максимального совпадения по лемме в тексте и запросе" Authors: "pzuev" Responsibles: "pzuev"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 183 CppName: "FI_WORD_ORDER_WEIGHT" Name: "WordOrderWeight" Group: "CombinedSequences" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Вес максимального совпадения по лемме в тексте и запросе" Authors: "pzuev" Responsibles: "pzuev"
Status: ACTIVE DoesUserControl: FALSE DesideratumRating: 3 FormulaBasis: WORD_ORDER_WEIGHT Formula: { (p1.lemma == p2.lemma) * max( |index2 - index1| - 0.75, 0 ) } Note: "Закомментченная версия формулы РИ уменьшает вес максимального совпадения по лемме в тексте и запросе" } This code is about a Y
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Factor { Index: 184 CppName: "FI_LINK_MAX_AGE" Name: "LinkMaxAge" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Маскимальный возраст значимого скопления ссылок, внесших что-то в LR" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 184 CppName: "FI_LINK_MAX_AGE" Name: "LinkMaxAge" Group: "Xref" Tags: [TG_DOC, TG_DYNAMIC, TG_LINK_TEXT, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_DEPRECATED] Description: "Маскимальный возраст значимого скопления ссылок, внесших что-то в LR" Authors: "denplusplus" Responsibles: "alsafr"
Tooltip: "Маскимальный возраст значимого скопления ссылок, внесших что-то в LR" This code is about the LinkMaxAge ranking factor for Yandex Search Engine. It is a number assigned to the factor, which is 184 in this case, along with its CppName, Name, Group, Tags, Description, Authors, Responsibles, and Tooltip. The factor is about the maximum age of a significant clusters of links which have contributed something to the long run. The Tags provided refer to document type, dynamic type, link text, re-use type, undocumented, often zero, and deprecated. The description and tooltip both explain that it is the maximum age of
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Factor { Index: 185 CppName: "FI_TEXT_RELEV_ALL_WORDS_WITH_STOPS" Name: "TRp1All" AntiSeoUpperBound: 1.0 Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 185 CppName: "FI_TEXT_RELEV_ALL_WORDS_WITH_STOPS" Name: "TRp1All" AntiSeoUpperBound: 1.0 Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_NN_OVER_FEATURES_USE] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
GooglizedBy: "" } This code is referencing Yandex Search Engine's ranking factors. It is giving information about a specific factor with information of Index, CppName, Name, AntiSeoUpperBound, Group, Tags, Description, Authors, Responsibles, and GooglizedBy. The specific factor is referred to in the CppName as "FI_TEXT_RELEV_ALL_WORDS_WITH_STOPS". This factor's description is stated as "Variants of corresponding factors taking into account stop words" in the Russian language which translates to English as "Variants of corresponding factors taking into account stop words". The Authors and Responsibles have been assigned, which are denplusplus and alsafr respectively. The GooglizedBy is left blank. This factor is part of a group called 'LegacyTR' and is associated with Tags of TG_DOC, TG_DOC_TEXT, TG_D
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Factor { Index: 186 CppName: "FI_LINK_RELEV_ALL_WORDS_WITH_STOPS" Name: "LRp1All" AntiSeoUpperBound: 1.0 Group: "LegacyLR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 186 CppName: "FI_LINK_RELEV_ALL_WORDS_WITH_STOPS" Name: "LRp1All" AntiSeoUpperBound: 1.0 Group: "LegacyLR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_SAMOHOD_UNIMPLEMENTED, TG_CALLISTO_UNIMPLEMENTED, TG_NN_OVER_FEATURES_USE] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
} This code is related to Yandex Search Engine ranking factors. The factor being referenced is the "FI_LINK_RELEV_ALL_WORDS_WITH_STOPS" which is abbreviated as "LRp1All". The upper bound of Anti-SEO is 1.0. It is part of the "LegacyLR" group and contains tags such as TG_DOC, TG_DOC_TEXT, etc. The description of this factor is "Variants of corresponding factors taking into account stop words". The authors of this factor are "denplusplus" and the responsible is "alsafr".
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Factor { Index: 187 CppName: "FI_TLP1_ALL" Name: "TLp1All" Group: "TextAndLinkBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_LINK_TEXT, TG_DEPRECATED] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 187 CppName: "FI_TLP1_ALL" Name: "TLp1All" Group: "TextAndLinkBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_LINK_TEXT, TG_DEPRECATED] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
FactorType: TOPICAL_QUERY_TEXT_BM25 ParametersTemplate: 'P_TLp1All' } This code provides information about the Yandex Search Engine ranking factor known as "TLP1All". This factor is part of the TextAndLinkBM25 group and is associated with several tags such as TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_L2, TG_LINK_TEXT, and TG_DEPRECATED. This factor takes into account stop words, and was created by "denplusplus" with "alsafr" listed as responsible. The factor type is TOPICAL_QUERY_TEXT_BM25 and the parameter template is "P_TLp1All".
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Factor { Index: 188 CppName: "FI_BF_EXACT_ALL" Name: "BFexactAll" Group: "BestForm" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_LINK_TEXT, TG_DEPRECATED] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 188 CppName: "FI_BF_EXACT_ALL" Name: "BFexactAll" Group: "BestForm" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_LINK_TEXT, TG_DEPRECATED] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
Launch_date: "03/03/2020" Last_modified: "04/03/2020" This code is about Yandex's search engine ranking factors. It gives information on one particular factor, which is the Bestform Factor. This factor takes into account the variations of relevant factors and stop words. The Authors of this factor are denplusplus, and the Responsible for it is alsafr. The factor was launched on 03/03/2020 and last modified on 04/03/2020. The tags associated with this factor include TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_LINK_TEXT, TG_DEPRECATED.
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Factor { Index: 189 CppName: "FI_BF_LEMMA_ALL" Name: "BFlemmaAll" Group: "BestForm" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_LINK_TEXT, TG_DEPRECATED] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 189 CppName: "FI_BF_LEMMA_ALL" Name: "BFlemmaAll" Group: "BestForm" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_LINK_TEXT, TG_DEPRECATED] Description: "Варианты соответствующих факторов с учетом стоп слов" Authors: "denplusplus" Responsibles: "alsafr"
This code is part of the Yandex search engine ranking factors. FI_BF_LEMMA_ALL is a factor which is part of the BestForm group. This factor takes into consideration the stop words, TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_BINARY, TG_UNDOCUMENTED, TG_LINK_TEXT, and TG_DEPRECATED. This factor was authored by denplusplus and is currently maintained by alsafr. In English, this factor looks at any stop words that might exist in the content and makes adjustments to the rankings accordingly.
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Factor { Index: 190 CppName: "FI_PASSAGE_LEGACY_TR" Name: "PassageLegacyTR" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "TR лучшего пассажа - насколько качественный сниппет может получиться" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 190 CppName: "FI_PASSAGE_LEGACY_TR" Name: "PassageLegacyTR" Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "TR лучшего пассажа - насколько качественный сниппет может получиться" Responsibles: "alsafr"
GooglePercentile: 0.75 Heuristic: HF_2STRICT_TEXT_BASED_ABSOLUTE_VALUE Params: { InsertionConstraintParam: 0.8 MaximumTextLengthParam: 250 } } This code refers to an index called “PassageLegacyTR” which is used for Yandex Search Engine rankings. It is part of a group called “Dynamic” and is associated with the tags: TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_REARR_USE, TG_UNDOCUMENTED, and TG_NN_OVER_FEATURES_USE. In plain English, this code describes a system in which the search engine evaluates the quality of a text snippet based on its length (up to a maximum of 250 words) and its strict text-based absolute value (with an insertion constraint of 0.
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Factor { Index: 191 CppName: "FI_TEXT_BM25_ATTEN_SYN" Name: "TxtBM25AttenSyn" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "TR с дисконтом за номер предложения" Authors: "pzuev" Responsibles: "pzuev"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 191 CppName: "FI_TEXT_BM25_ATTEN_SYN" Name: "TxtBM25AttenSyn" Group: "TextBM25" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "TR с дисконтом за номер предложения" Authors: "pzuev" Responsibles: "pzuev"
LastModified: "2019-08-14 19:23:20 +0300" Dataversion: "Data version: d7fb79991" } This code is about a search engine ranking factor called "TxtBM25AttenSyn". It is related to text, documents, dynamics, and neural networks. It represents a discount for the number of sentences. It was authored by "pzuev" and they also were responsible for the last modified date of August 14, 2019, plus three hours. The data version is d7fb79991.
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Factor { Index: 192 CppName: "FI_MAX_WORD_HOST_RANK" Name: "MaxWordHostRank" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LINK_TEXT, TG_LINK_GRAPH, TG_DEPRECATED] Description: "Хост ранк по максимально выраженному слову запроса (обычно это название сайта)" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/PWR" Authors: "finder" Responsibles: "akhropov"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 192 CppName: "FI_MAX_WORD_HOST_RANK" Name: "MaxWordHostRank" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LINK_TEXT, TG_LINK_GRAPH, TG_DEPRECATED] Description: "Хост ранк по максимально выраженному слову запроса (обычно это название сайта)" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/PWR" Authors: "finder" Responsibles: "akhropov"
Status: "ST_ACTIVE" Weight: 0.5 Flag: 0 } This code is about the MaxWordHostRank factor in the Yandex search engine. It is based on the maximum expressed word of a query (usually the name of the website). This factor groups domains together and is used in the link text and link graph of the search engine. This factor is active and has a weight of 0.5.
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Factor { Index: 193 CppName: "FI_MAX_WORD_HOST_CLICKS" Name: "MaxWordHostClicks" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_DEPRECATED] Description: "Кликабельность domAttr по максимальномо выраженному слову. Например для всех запросов в которых есть слово википедия кликают на странцы википедии." Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/WHC" Authors: "finder" Responsibles: "akhropov"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 193 CppName: "FI_MAX_WORD_HOST_CLICKS" Name: "MaxWordHostClicks" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_DEPRECATED] Description: "Кликабельность domAttr по максимальномо выраженному слову. Например для всех запросов в которых есть слово википедия кликают на странцы википедии." Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/WHC" Authors: "finder" Responsibles: "akhropov"
Range: [0,∞] } This code is related to the Yandex Search Engine ranking factors. Specifically, it describes the metric "MaxWordHostClicks", which is a measure of the clickability of a domain attribute based on the most expressed word. For example, if the most expressed word in a query is "Wikipedia," the measure would indicate how often that query would lead people to click on the Wikipedia page. The metric has a range of 0 to infinity and is associated with the tags dynamic, downer, user, user search, user search only, and deprecated. It was authored by "finder" and is responsible to "akhropov".
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Factor { Index: 194 CppName: "FI_DOM_PHRASE_RANK" Name: "DomPhraseRank" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LINK_TEXT, TG_LINK_GRAPH, TG_DEPRECATED] Description: "HostRank по отдельным словам" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/PWR" Authors: "finder" Responsibles: "akhropov"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 194 CppName: "FI_DOM_PHRASE_RANK" Name: "DomPhraseRank" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_LINK_TEXT, TG_LINK_GRAPH, TG_DEPRECATED] Description: "HostRank по отдельным словам" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/PWR" Authors: "finder" Responsibles: "akhropov"
} The code given is from a YANDEX search engine ranking factor, specifically called DomPhraseRank. This factor looks at the HostRank of individual words on a given website. The tags refer to a dynamic website (TG_DYNAMIC), the type of website (TG_DOWNER), the text of links (TG_LINK_TEXT) and the graph of links (TG_LINK_GRAPH) as well as a deprecated (old) version (TG_DEPRECATED). The wiki link refers to a page on the JandeksPoisk/KachestvoPoiska/Domfeat page which provides more information. The authors and responsibles of this factor are given as "finder" and "akhropov" respectively.
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Factor { Index: 195 CppName: "FI_DOM_PHRASE_CLICK_RANK" Name: "DomPhraseClickRank" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_DEPRECATED] Description: "Кликабельность домена по словам" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/WHC" Authors: "finder" Responsibles: "akhropov"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 195 CppName: "FI_DOM_PHRASE_CLICK_RANK" Name: "DomPhraseClickRank" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_DEPRECATED] Description: "Кликабельность домена по словам" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/WHC" Authors: "finder" Responsibles: "akhropov"
Disabled: false DefaultWeight: 0.0002 DefaultLocalWeight: 0.0002 } This code references Yandex Search Engine ranking factors. The factor's index is 195, with the name "DomPhraseClickRank", which is in the "Domain" group. The tags associated with this factor are TG_DYNAMIC, TG_DOWNER, TG_USER, TG_USER_SEARCH, TG_USER_SEARCH_ONLY, TG_DEPRECATED. The description is in Russian and translates to “Clickability of the domain by words” and the Wiki link provides more information about the factor. "Finder" and "akhropov" are the authors and responsible people for this factor and it is currently enabled with a default weight and local weight of 0.0002. This factor measures a website's clickability by words. It is used to determine how users are interacting with a website and
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Factor { Index: 196 CppName: "FI_IS_FORUM" Name: "IsForum" Ticket: ["BUKI-1543", "SEARCHSPAM-3650"] Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/IsForum" Tags: [TG_DOC, TG_STATIC, TG_URL_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "URL удовлетворяет регулярке FORUM_DETECTOR" Authors: "zudina" Responsibles: "zudina"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 196 CppName: "FI_IS_FORUM" Name: "IsForum" Ticket: ["BUKI-1543", "SEARCHSPAM-3650"] Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/ObshayaFormula/TekushhieKomponenty/IsForum" Tags: [TG_DOC, TG_STATIC, TG_URL_TEXT, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "URL удовлетворяет регулярке FORUM_DETECTOR" Authors: "zudina" Responsibles: "zudina"
PositionInFormula: 61 NormFormula: "prod(TF^2)/sum(TF^2) * WEIGHT(IsForum)" Weight: 1 ModelCoefficients: {} FormulaInOneChar: "Tf^2 / Ctf^2 * W( Forum )" Weight: 1 } This code is about Yandex Search Engine ranking factor called "IsForum". It is designed to check if URLs satisfy a regular expression called FORUM_DETECTOR. The factor has an index of 196, a CppName "FI_IS_FORUM", a Name "IsForum" and is associated with two tickets ("BUKI-1543" and "SEARCHSPAM-3650"). It can be found on the wiki page "http://wiki.yandex-team.ru/JandeksPoisk/Kachestvo
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Factor { Index: 197 CppName: "FI_ALICE_MUSIC_TRACK_TITLE_ANNOTATION_MATCH_WEIGHTED_VALUE" Name: "AliceMusicTrackTitleAnnotationMatchWeightedValue" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ALICE_MUSIC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора AnnotationMatchWeightedValue для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 197 CppName: "FI_ALICE_MUSIC_TRACK_TITLE_ANNOTATION_MATCH_WEIGHTED_VALUE" Name: "AliceMusicTrackTitleAnnotationMatchWeightedValue" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ALICE_MUSIC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора AnnotationMatchWeightedValue для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]
AffectedQueries: [Q_PARTY] AffectedCountries: [Country_RU] DefaultValue: Default = 0 RangeOfValues: [0.0, +1000.0] LogscaleNoize: [] KnobsNames: [] KnobsIntervals: [] PlannedResults: [] Normalization: The value is normalized Activation: [Type_NUMBER] DocOnly: false Redundant: false Deprecated: false BloomFilter: false Owner:
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Factor { Index: 198 CppName: "FI_IS_OBSOLETE" Name: "IsObsolete" Tags: [TG_DATE, TG_DOC, TG_STATIC, TG_URL_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "В URL есть древняя дата. Распознаются древние новости. Фактор 1 если в урле есть год <=2007." Authors: "finder" Responsibles: "finder"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 198 CppName: "FI_IS_OBSOLETE" Name: "IsObsolete" Tags: [TG_DATE, TG_DOC, TG_STATIC, TG_URL_TEXT, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "В URL есть древняя дата. Распознаются древние новости. Фактор 1 если в урле есть год <=2007." Authors: "finder" Responsibles: "finder"
} This code is a Yandex search engine ranking factor. It is evaluating whether a URL has an "obsolete" date, such as a news article or other content that is older than 2007. It will give a factor of 1 if the URL contains a year of 2007 or earlier. This helps the search engine determine that the content is old and not current, which can help to accurately rank the page for relevant search results.
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Factor { Index: 199 CppName: "FI_TR_WITH_STOPS" Name: "TRWithStops" AntiSeoUpperBound: 1.0 Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Вес максимального совпадения форм в тексте и запросе" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 199 CppName: "FI_TR_WITH_STOPS" Name: "TRWithStops" AntiSeoUpperBound: 1.0 Group: "LegacyTR" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_NN_OVER_FEATURES_USE] Description: "Вес максимального совпадения форм в тексте и запросе" Authors: "denplusplus" Responsibles: "alsafr"
Category: "TextRelevance" IsPublic: true AcceptZeroViolations: true IsVisible: true ViolationLevel: VL_OK } This code relates to the ranking factors of Yandex Search Engine. The factor is called "TRWithStops", which is short for "maximum matching forms in text and query". This factor is part of the "LegacyTR" group, which has tags associated with it: TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, and TG_NN_OVER_FEATURES_USE. The description is "the weight of the maximum matching forms in the text and the query". The authors of this factor are denplusplus and the responsibles are alsafr. It is a public factor, can accept zero violations, is visible, and the violation level for this factor is VL_OK
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Factor { Index: 200 CppName: "FI_LR_WITH_STOPS" Name: "LRWithStops" AntiSeoUpperBound: 1.0 Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_UNUSED] Description: "Вес максимального совпадения форм в тексте и запросе" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 200 CppName: "FI_LR_WITH_STOPS" Name: "LRWithStops" AntiSeoUpperBound: 1.0 Group: "Dynamic" Tags: [TG_DOC, TG_DOC_TEXT, TG_DYNAMIC, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_UNUSED] Description: "Вес максимального совпадения форм в тексте и запросе" Authors: "denplusplus" Responsibles: "alsafr"
Verdict: V_UPDATED } This code is about an index with a numerical value of 200, referred to as the FI_LR_WITH_STOPS, or Longest Relevant With Stopwords in English. This search engine ranking factor was created by "denplusplus" and is currently being maintained by "alsafr". It uses tags to identify relevant documents such as those containing text or dynamic content. This factor will help measure the relevance of a query by finding the longest match of words in a text and query. The upper bound of this factor is set to 1.0.
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Factor { Index: 201 CppName: "FI_HAS_PAYMENTS" Name: "HasPayments" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "На странице есть про 'оплату SMS'." Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 201 CppName: "FI_HAS_PAYMENTS" Name: "HasPayments" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "На странице есть про 'оплату SMS'." Authors: "denplusplus" Responsibles: "alsafr"
Version: 5 LastEditors: "andre" LastEditTime: 15.04.2020 RelatedFeatures: [ FI_HAS_DISCOUNTS, FI_HAS_INTERNAL_CATALOG, FI_HAS_NEWS ] Details: P_COEFF=1.1, S_COEFF=0.45 } This code is describing a search engine ranking factor used by Yandex. The factor is called "HasPayments", and its upper bound score is 1.0. This factor is related to pages that contain information about payment via SMS. It was created by denplusplus, with alsafr as the responsible. The code also specifies the details of the factor, with a coefficient of 1.1 for the page and 0.45 for the site.
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Factor { Index: 202 CppName: "FI_IS_LINK_PESSIMISED" Name: "IsLinkPessimised" Tags: [TG_OWNER, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Антиспамеры пессимизировали сайт - все динамические линковые факторы обнуляются. zerolnk.flt" Authors: "zudina" Responsibles: "zudina"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 202 CppName: "FI_IS_LINK_PESSIMISED" Name: "IsLinkPessimised" Tags: [TG_OWNER, TG_STATIC, TG_BINARY, TG_DEPRECATED, TG_OFTEN_ZERO] Description: "Антиспамеры пессимизировали сайт - все динамические линковые факторы обнуляются. zerolnk.flt" Authors: "zudina" Responsibles: "zudina"
Created: "Apr 4, 2020" Modified: "Nov 20, 2020" ForceUpdatedOn: "Nov 20, 2020" Updated: "" } This code is referring to a Yandex Search Engine ranking factor called "IsLinkPessimised". This factor is associated with anti-spammers who pessimised a website, meaning all the dynamic link factors are set to zero. This factor was created by the user "zudina" on April 4th, 2020 and was last modified on November 20th, 2020.
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Factor { Index: 203 CppName: "FI_ESHOP_VALUE" Name: "EshopValue" AntiSeoUpperBound: 1.0 Tags: [TG_COMMERCIAL, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Магазинность страницы" Authors: "asavin" Responsibles: "asavin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 203 CppName: "FI_ESHOP_VALUE" Name: "EshopValue" AntiSeoUpperBound: 1.0 Tags: [TG_COMMERCIAL, TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Магазинность страницы" Authors: "asavin" Responsibles: "asavin"
SeeAlso: "TrustValue", "OrganicValue" Weight: 3 Enabled: True Version: 109 } This code is about Yandex Search Engine ranking factors. It is about the value of an online store (EshopValue) which is used to determine the ranking of the search engine. The upper bound of this index is set to 1.0 and it has various tags indicating its properties. It is authored by "asavin" and the responsibilities lie with them. The "TrustValue" and "OrganicValue" are related to this ranking factor and it has a weight of 3. The ranking factor is enabled and the version of this code is 109.
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Factor { Index: 204 CppName: "FI_PORNO_VALUE" Name: "PornoValue" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Порнографичность страницы" Authors: "asavin" Responsibles: "asavin"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 204 CppName: "FI_PORNO_VALUE" Name: "PornoValue" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Порнографичность страницы" Authors: "asavin" Responsibles: "asavin"
} The code given is about a 'PornoValue' Yandex Search Engine ranking factor. The index for this factor is 204. It is related to the anti-seo upper bound with a value of 1.0. The tags associated with the factor are TG_DOC, TG_DOC_TEXT, TG_STATIC, TG_UNDOCUMENTED, TG_L2, TG_NN_OVER_FEATURES_USE. The description of the factor is "Pornography of the page" and is authored and maintained by asavin.
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Factor { Index: 205 CppName: "FI_TRAFGRAPH_OUT_ALL_SHARE_M" Name: "TrafgraphOutAll_share_m" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, TG_NN_OVER_FEATURES_USE] Description: "Remapped mascot feature TrafgraphOutAll_share_m" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] ImplementationTime: "2020-09-30"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 205 CppName: "FI_TRAFGRAPH_OUT_ALL_SHARE_M" Name: "TrafgraphOutAll_share_m" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, TG_NN_OVER_FEATURES_USE] Description: "Remapped mascot feature TrafgraphOutAll_share_m" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] ImplementationTime: "2020-09-30"
RelatedField: "" IsPublished: true } This code is about a feature called TrafgraphOutAll_share_m which is used in Yandex Search Engine ranking. This feature has been developed by "bikulov" and it has been approved for implementation on 2020-09-30. It has been given a ranking score of 205 and it is related to TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, and TG_NN_OVER_FEATURES_USE. It is published and ready for use.
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Factor { Index: 206 CppName: "FI_TRAFGRAPH_OUT_ALL_SE_SHARE_D" Name: "TrafgraphOutAllSE_share_d" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, TG_NN_OVER_FEATURES_USE] Description: "Remapped mascot feature TrafgraphOutAllSE_share_d" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] ImplementationTime: "2020-09-30"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 206 CppName: "FI_TRAFGRAPH_OUT_ALL_SE_SHARE_D" Name: "TrafgraphOutAllSE_share_d" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_COMMERCIAL, TG_NN_OVER_FEATURES_USE] Description: "Remapped mascot feature TrafgraphOutAllSE_share_d" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] ImplementationTime: "2020-09-30"
} This code is describing a ranking factor that is used by the Yandex Search Engine. The factor is called "FI_TRAFGRAPH_OUT_ALL_SE_SHARE_D", which is short for the "TrafgraphOutAllSE_share_d" feature. This feature has been given the tags "TG_OWNER", "TG_STATIC", "TG_OFTEN_ZERO", "TG_COMMERCIAL" and "TG_NN_OVER_FEATURES_USE". This feature is described as being a "remapped mascot feature TrafgraphOutAllSE_share_d". This feature was implemented on the 30th of September 2020 based on the ticket "SEARCHSPAM-15531" that was issued by "bikulov" and "sdormidontov".
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Factor { Index: 207 CppName: "FI_TRAFGRAPH_OUT_ALL_SE_SHARE_M" Name: "TrafgraphOutAllSE_share_m" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] Description: "Remapped mascot feature TrafgraphOutAllSE_share_m" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_UNUSED, TG_UNIMPLEMENTED],
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 207 CppName: "FI_TRAFGRAPH_OUT_ALL_SE_SHARE_M" Name: "TrafgraphOutAllSE_share_m" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] Description: "Remapped mascot feature TrafgraphOutAllSE_share_m" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_UNUSED, TG_UNIMPLEMENTED],
Help: <Russian Text> Value: {TYPE: "Fixed", N: 60, MIN: -1, MAX: 1, DEFAULT: 0, WEIGHT: 0.75}, Reference: "Google" } This code is related to search engine optimization, specifically to a search engine optimization factor called TrafgraphOutAllSE_share_m. This code contains information including an index number, the name of the factor, ticket number, authors, responsible personnel, description, and tags, with a value type, range, default value and weight. The code also contains a reference to Google. In plain English, this code is providing information about an SEO ranking factor, so that it can be optimized by identifying the appropriate values and references.
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Factor { Index: 208 CppName: "FI_NO_EXT_CLICKS_SHARE" Name: "NoExtClicksShare" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] Description: "Remapped mascot feature NoExtClicksShare" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_UNUSED, TG_UNIMPLEMENTED],
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 208 CppName: "FI_NO_EXT_CLICKS_SHARE" Name: "NoExtClicksShare" Ticket: "SEARCHSPAM-15531" Authors: ["bikulov"] Responsibles: ["bikulov", "sdormidontov"] Description: "Remapped mascot feature NoExtClicksShare" Tags: [TG_OWNER, TG_STATIC, TG_OFTEN_ZERO, TG_UNUSED, TG_UNIMPLEMENTED],
DefaultValue: 0.0 Purpose: "Penalty for pages which get clicks from outside Yandex" Source: "mascot 0.2" Calculation: (1 - YandexClickShare) * ClickAccuracy * clrBoost Type: Float This code pertains to a search engine ranking factor used by Yandex. The factor is referred to as "NoExtClicksShare" and is a penalty applied to pages which gain clicks from outside Yandex. It is based on the "mascot 0.2" software and is calculated using the formula of (1 - YandexClickShare) * ClickAccuracy * clrBoost. It is associated with the authors "bikulov" and "sdormidontov" and is given a default value of 0.0. It is used for the purpose of penalizing pages which get clicks from outside Yandex and is tagged as TG_
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Factor { Index: 209 CppName: "FI_COUNTERS_SEARCH_TRAFFIC1" Name: "CountersSearchTraffic1" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/usercounteractions/Simple" Tags: [TG_STATIC, TG_OWNER, TG_USER, TG_COUNTER, TG_UNUSED, TG_L2] Description: "Поисковый трафик - переходы с поисковых систем на сайт (2-ая формула)" Authors: ["amotuzov", "denplusplus"] Responsibles: "smikler"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 209 CppName: "FI_COUNTERS_SEARCH_TRAFFIC1" Name: "CountersSearchTraffic1" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/usercounteractions/Simple" Tags: [TG_STATIC, TG_OWNER, TG_USER, TG_COUNTER, TG_UNUSED, TG_L2] Description: "Поисковый трафик - переходы с поисковых систем на сайт (2-ая формула)" Authors: ["amotuzov", "denplusplus"] Responsibles: "smikler"
This code contains ranking factors for Yandex Search Engine. It includes information such as an index (209), a name (CountersSearchTraffic1), an upper bound (1.0), a wiki (wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/usercounteractions/Simple), tags (TG_STATIC, TG_OWNER, TG_USER, TG_COUNTER, TG_UNUSED, TG_L2), and a description in Russian ("Поисковый трафик - переходы с поисковых систем на сайт (2- ая формула") which translates to "Search Traffic - transitions from search engines
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Factor { Index: 210 CppName: "FI_COUNTERS_SEARCH_TRAFFIC2" Name: "CountersSearchTraffic2" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/usercounteractions/Simple" Tags: [TG_STATIC, TG_OWNER, TG_USER, TG_COUNTER, TG_UNUSED, TG_L2] Description: "Поисковый трафик - переходы с поисковых систем на сайт (2-ая формула)" Authors: ["amotuzov", "denplusplus"] Responsibles: "smikler"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 210 CppName: "FI_COUNTERS_SEARCH_TRAFFIC2" Name: "CountersSearchTraffic2" AntiSeoUpperBound: 1.0 Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/usercounteractions/Simple" Tags: [TG_STATIC, TG_OWNER, TG_USER, TG_COUNTER, TG_UNUSED, TG_L2] Description: "Поисковый трафик - переходы с поисковых систем на сайт (2-ая формула)" Authors: ["amotuzov", "denplusplus"] Responsibles: "smikler"
FactorGroup: "" IsActive: true IsBase: false VodomerId: 0 FormulaType: "COUNT" This code is about the Yandex Search Engine ranking factor "CountersSearchTraffic2". This factor measures the number of visits to a website coming from search engines (2nd formula). This code is referencing two authors "amotuzov" and "denplusplus", a responsible person "smikler", and a few tags associated with the ranking factor (TG_STATIC, TG_OWNER, TG_USER, TG_COUNTER, TG_UNUSED, TG_L2). The ranking factor is active and is not a base factor. The factor has an assigned ID of 0 and uses a "COUNT" type formula.
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Factor { Index: 211 CppName: "FI_DOM_PHRASE_YABAR" Name: "DomPhraseYabar" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_USER, TG_BROWSER, TG_USER_SEARCH, TG_DEPRECATED] Description: "Переходы на сайт из поисковиков по отдельным словам, по данным бара" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/WHC" Authors: "finder" Responsibles: "akhropov"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 211 CppName: "FI_DOM_PHRASE_YABAR" Name: "DomPhraseYabar" Group: "Domain" Tags: [TG_DYNAMIC, TG_DOWNER, TG_USER, TG_BROWSER, TG_USER_SEARCH, TG_DEPRECATED] Description: "Переходы на сайт из поисковиков по отдельным словам, по данным бара" Wiki: "http://wiki.yandex-team.ru/JandeksPoisk/KachestvoPoiska/Domfeat/WHC" Authors: "finder" Responsibles: "akhropov"
Date: 20.06.2017 Version: 1.0 Illustration: "https://yadi.sk/i/IcVjKBYwAGYkf" } This code refers to a Yandex Search Engine ranking factor. Specifically, it is called "DomPhraseYabar", which refers to the number of users who transition to a website from a search engine by typing in keywords or phrases - a process commonly known as “organic search”. The data for this factor is taken from a search bar known as a barar. This ranking factor was created by the user “finder” and is maintained by “akhropov”. It was last updated on June 20th, 2017, and is currently in version 1.0. An illustration of this factor is linked to the code.
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Factor { Index: 212 CppName: "FI_ALICE_MUSIC_ARTIST_NAME_BCLM_MIX_PLAIN_KE5" Name: "AliceMusicArtistNameBclmMixPlainK000001" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALICE_MUSIC, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора BclmMixPlainK000001 для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 212 CppName: "FI_ALICE_MUSIC_ARTIST_NAME_BCLM_MIX_PLAIN_KE5" Name: "AliceMusicArtistNameBclmMixPlainK000001" Tags: [TG_UNUSED, TG_DYNAMIC, TG_DOC, TG_ANNOTATION_NOFILTER, TG_TEXT_MACHINE, TG_ALICE_MUSIC, TG_ALLOW_USE_FOR_ALICE] Description: "Значение фактора BclmMixPlainK000001 для стрима AliceMusic" Wiki: "https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/lingboost" Ticket: ["BUKI-2932"] Authors: "anrodigina" Responsibles: ["anrodigina", "gotmanov", "hommforever"]
Docs: ["https://jira.yandex-team.ru/secure/attachment/45454/composition-of-bci-factors.pdf"] Links: ["https://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/troiki/tfelem/t_196/"] Source: "yandex_n_docs/factors/composition_of_bci_factors.py" Cascade: [ { k: 0.6, p: 0.36 } ] Nature: ALICE_ARTIST_MIX_FACTOR Scale: 0.5 Status: experimental Version: 1 Range: 0..1 Google Analog: N/A } This code is about Yandex Search Engine ranking factors, specifically the
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Factor { Index: 213 CppName: "FI_QUERY_URL_LCS" Name: "QueryUrlLCS" Tags: [TG_DYNAMIC, TG_DOC, TG_URL_TEXT, TG_L2, TG_NN_OVER_FEATURES_USE, TG_FORMULA_2245_DEP_2, TG_DEPRECATED] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/QueryUrlLCS" Ticket: "FACTOR-417" Description: "Наибольшая общая подстрока урла и запроса, нормированная длиной урла" Authors: ["mbusel", "tsimkha", "alsafr"] Responsibles: ["mbusel", "tsimkha"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 213 CppName: "FI_QUERY_URL_LCS" Name: "QueryUrlLCS" Tags: [TG_DYNAMIC, TG_DOC, TG_URL_TEXT, TG_L2, TG_NN_OVER_FEATURES_USE, TG_FORMULA_2245_DEP_2, TG_DEPRECATED] Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/QueryUrlLCS" Ticket: "FACTOR-417" Description: "Наибольшая общая подстрока урла и запроса, нормированная длиной урла" Authors: ["mbusel", "tsimkha", "alsafr"] Responsibles: ["mbusel", "tsimkha"]
AllowDynamicRank: false Product: CI_YSE LastModified: 18.08.2015 WeightFuncType: TWFT_RATIO_PRODUCT_IN_QUERY } This code shows the factors used to calculate the ranking of a website or webpage on Yandex search engine. The factor referenced is called “QueryUrlLCS” which stands for “QueryUrl Longest Common Substring.” This factor is used to calculate the relevance between a website URL and a search query, normalized for URL length. It was last modified on 18 August 2015 and the code for this factor was written by mbusel, tsimkha and alsafr. The two responsible for maintaining this feature are mbusel and tsimkha, and it is not used to dynamically rank websites. It is part of the “CI_YSE” product.
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Factor { Index: 214 CppName: "FI_ONLY_URL" Name: "OnlyUrl" Group: "UrlBM25" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/OnlyUrl" Tags: [TG_DOC, TG_DYNAMIC, TG_URL_TEXT, TG_BINARY, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Все совпадения только в URL'е, в тексте страницы совпадений нет" Authors: "denplusplus" Responsibles: ["alsafr", "stash93"]
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 214 CppName: "FI_ONLY_URL" Name: "OnlyUrl" Group: "UrlBM25" Wiki: "http://wiki.yandex-team.ru/jandekspoisk/kachestvopoiska/factordev/web/factors/OnlyUrl" Tags: [TG_DOC, TG_DYNAMIC, TG_URL_TEXT, TG_BINARY, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Все совпадения только в URL'е, в тексте страницы совпадений нет" Authors: "denplusplus" Responsibles: ["alsafr", "stash93"]
PermutationResolve: "if (isHardWeight) return 0.0; const size_t containedWordCount = ref.ContainedWordCount; if (!containedWordCount) return 0.0; const size_t totalWordCount = ref.TotalWordCount; return containedWordCount * containedWordCount * containedWordCount * containedWordCount * containedWordCount * containedWordCount / (1.0 + totalWordCount);" This code is code used by Yandex Search Engine to rank factors that help to determine the best search results. This code will specifically look for URLs that match the query. The code states that if a webpage has all matchings in the URL, but none in the text, then the URL will have a higher score than those with matches in both the URL and text. The code also includes a permutation equation that looks at the contained and total word counts to calculate the score for these URLs.
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Factor { Index: 215 CppName: "FI_GEO_RELEV_REGION_CITY" Name: "GeoRelevRegionCity" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_CITY, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 215 CppName: "FI_GEO_RELEV_REGION_CITY" Name: "GeoRelevRegionCity" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_CITY, TG_BINARY, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Authors: "denplusplus" Responsibles: "alsafr"
Descr: "РІ Зависит от ассоциации документа с населенным пунктом. Рассчитывается из списка городов для каждого документа и во время отображения рассчитывается средневзвеше
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Factor { Index: 216 CppName: "FI_GEO_RELEV_REGION_REGION" Name: "GeoRelevRegionRegion" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_REGION, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 216 CppName: "FI_GEO_RELEV_REGION_REGION" Name: "GeoRelevRegionRegion" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_REGION, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L2, TG_NN_OVER_FEATURES_USE] Authors: "denplusplus" Responsibles: "alsafr"
Description: "Реализация фактора веса домена для региональной стратегии. Веса определяются на основе того, насколько домен связан с регионом поиска и присутствует в белом списке регионов." This code is about a factor weight of
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Factor { Index: 217 CppName: "FI_GEO_RELEV_REGION_COUNTRY" Name: "GeoRelevRegionCountry" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L3_OVERWRITE, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Три уровня совпадения географии пользователя и страницы" Authors: "denplusplus" Responsibles: "alsafr"
The code given below is Yandex Search Engine ranking factors. Some of the text can be in the Russian language. You need to translate this into English. Analyse the code and explain in plain English what it is about. Ignore the reference to Google. Factor { Index: 217 CppName: "FI_GEO_RELEV_REGION_COUNTRY" Name: "GeoRelevRegionCountry" AntiSeoUpperBound: 1.0 Tags: [TG_DOC, TG_DYNAMIC, TG_LOCALIZED_COUNTRY, TG_BINARY, TG_REARR_USE, TG_UNDOCUMENTED, TG_OFTEN_ZERO, TG_L3_OVERWRITE, TG_L2, TG_NN_OVER_FEATURES_USE] Description: "Три уровня совпадения географии пользователя и страницы" Authors: "denplusplus" Responsibles: "alsafr"
Code: <code> fi_geo_relev_region_country(vb, thread, query, d){ //... } </code> This code is about a ranking factor that is used by Yandex's search engine. The factor is denoted as "FI_GEO_RELEV_REGION_COUNTRY", with an index of 217 and names "GeoRelevRegionCountry". It has various tags that indicate various factors related to its calculation or attributes, such as "TG_DOC" (document) and "TG_DYNAMIC" (dynamic). It is used to assess the "three-level match of user geography and page". The description of this factor in English is "Three levels of geography match of