DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval

Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, Grace Hui Yang

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

1 Citation (Scopus)

Abstract

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, with an expectation of over 300 workshop participants. © 2023 Copyright held by the owner/author(s). Publication rights licensed to ACM.
Original languageEnglish
Title of host publicationCIKM '23
Subtitle of host publicationProceedings of the 32nd ACM International Conference on Information and Knowledge Management
PublisherAssociation for Computing Machinery
Pages5304-5307
ISBN (Print)979-8-4007-0124-5
DOIs
Publication statusPublished - Oct 2023
Event32nd ACM International Conference on Information and Knowledge Management (CIKM 2023) - University of Birmingham and Eastside Rooms, Birmingham, United Kingdom
Duration: 21 Oct 202325 Oct 2023
https://uobevents.eventsair.com/cikm2023/
https://uobevents.eventsair.com/cikm2023/accepted-papers
https://dl.acm.org/doi/proceedings/10.1145/3583780

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Conference

Conference32nd ACM International Conference on Information and Knowledge Management (CIKM 2023)
Abbreviated titleCIKM ’23
Country/TerritoryUnited Kingdom
CityBirmingham
Period21/10/2325/10/23
Internet address

Bibliographical note

Full text of this publication does not contain sufficient affiliation information. With consent from the author(s) concerned, the Research Unit(s) information for this record is based on the existing academic department affiliation of the author(s).

Research Keywords

  • Deep Reinforcement Learning
  • Information Retrieval

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