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The 4th Workshop on Deep Reinforcement Learning for Information Retrieval


Information retrieval (IR) is one of the most important fields to help users find relevant information. The interaction between IR systems and users can be naturally formulated as a decision-making problem. In the last decade, deep reinforcement learning (DRL) has become a promising direction to utilize the high model capacity of deep learning to improve long-term gains. On the one hand, there have been emerging research works focusing on leveraging DRL for IR tasks while the fundamental information theory under DRL settings, the principle of RL methods for IR tasks, or the experimental evaluation protocols of DRL-based IR systems, has not been deeply investigated. On the other hand, the emerging ChatGPT also provides new insights and challenges for DRL-based IR.
Therefore, we propose the fourth DRL4IR workshop at CIKM 2023, which provides a venue for both academia researchers and industry practitioners to present the recent advances of DRL-based IR system, to foster novel research, interesting findings, and new applications of DRL for IR. We will pay more attention to fundamental research topics and recent application advances such as ChatGPT.

The DRL4IR@CIKM2023 workshop will be held as a full-day event in conjunction with .

Call for Papers

We invite submissions related to DRL4IR, including (but not limited to):
Formulating IR tasks as decision-making tasks
Offline DRL4IR
Simulating user behavior in dynamic scenarios
DRL with human feedback and ChatGPT.

Submission Instructions

All submissions (.pdf format) must be written in English and use the latest template of ACM CIKM 2023 available at . The concepts and keywords are required. Submissions can be of varying length from 4 to 8 pages. References do not count against the page limit. All submissions must be original and not simultaneously submitted to another journal or conference.
We also follow Papers that include text generated from a large-scale language model (LLM) such as ChatGPT are prohibited unless this produced text is presented as a part of the paper’s experimental analysis. AI tools may be used to edit and polish authors’ work, such as using LLMs for light editing of their own text (e.g., automate grammar checks, word autocorrect, and other editing work), but text “produced entirely” by AI is not allowed.
All submissions will be double-blind peer reviewed by the program committee and judged by their relevance to the workshop, scientific novelty, and technical quality.
Please note that at least one of the authors of each accepted paper must register for the workshop and present the paper either remotely or on location (strongly preferred).
We encourage but do not require authors to release any code and/or datasets associated with their paper.

Important Dates

Time zone:
Submission deadline
September 6, 2023
Acceptance notification
September 22, 2023
DRL4IR workshop
October 22, 2023


Shandong University
Microsoft Research
City University of Hong Kong
Baidu Inc.

University of Amsterdam
The Netherlands
Georgetown University
Shanghai Jiao Tong University

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