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Trends in Artificial Intelligence for Online User Behaviour Analytics [CFP]

Personal and Ubiquitous Computing

Peter Thomas

Personal and Ubiquitous Computing

springer.com/journal/779⁠

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Guest Editors

Marimuthu Karuppiah SRM Institute of Science and Technology

kmarimuthu@ieee.org⁠

⁠

Shehzad Ashraf Chaudhry Istanbul Gelisim University

sashraf@gelisim.edu.tr⁠

⁠

Mohammed H. Alsharif Sejong University

malsharif@sejong.ac.kr⁠

⁠

User behaviour analytics (UBA) is an effective strategy that provides insights into customer behaviour, which in turn can improve decision-making for business growth.

UBA is the process of collecting and analyzing the patterns of user behaviour to understand how they interact with a product or website. It helps to increase customer engagement and improves ROI and customer retention. UBA plays a significant role in marketing campaigns, especially in the retail sector and e-commerce, but also in healthcare, banking, insurance, and cybersecurity.

However, accuracy is essential, especially for large datsets, and leveraging AI techniques can help process massive amounts of unstructured raw data. Many companies are using advanced AI analytics and applications to deliver more personalized customer experiences using chatbots, sentiment analysis, personalized feeds, and deep learning models.

In this special issue we intend to explore recent trends in the use of AI for online user behaviour analytics.

Scope

Topics of interest include but are not restricted to:

Impact of user behavior analytics in business and marketing strategies

Segmentation of users based on customer demographics and behavioral patterns

Challenges and opportunities for AI in user behavior analytics:

Innovative methods and approaches for data collection and analysis for UBA

Increasing conversion through chatbots

Sentiment analysis of social media data

Advanced AI technologies for data analytics and prediction

ML for user behavior analytics

Maintaining accuracy in the prediction of customer behavior

Important Dates

Submissions: July 30, 2022

Author notification: October 10, 2022

Revised papers: January 15, 2023

Final notification: April 20, 2023

Publication: 2023

Submissions

Submissions should be original papers and should not be under consideration for publication elsewhere. Extended versions of high-quality conference papers that are already published at relevant venues may also be considered as long as the additional contribution is substantial (at least 30% new content).

Authors should follow the formatting and submission instructions for Personal and Ubiquitous Computing at

https://www.springer.com/journal/779⁠

For more information visit the Springer Nature Information for journal Article Authors pages at

https://www.springer.com/gp/authors-editors/journal-author⁠

⁠

During the first submission step in Editorial Manager select Original article as the article type. In further steps you should confirm that your submission belongs to this special issue by choosing the special issue title from the drop-down menu.

All papers will be peer-reviewed. Before any special issue is given final approval to be put into production, additional rigorous integrity checks are carried out by the editor-in-chief, editorial team, production office and by Springer Nature.

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