The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking

The field of information retrieval has significantly transformed with the integration of AI technologies. AI agents, especially those leveraging LLMs and vast computational power, have revolutionized information retrieval, processing, and presentation. LLM agents, with advanced memory, reasoning, and planning capabilities, can perform complex tasks, engage in coherent conversations, and provide personalized responses. Despite these advancements, challenges such as ensuring relevance and accuracy, mitigating biases, providing real-time responses, and maintaining data security remain. This workshop aims to explore these challenges, share innovative solutions, and discuss future directions. It will provide a platform to bring together researchers and practitioners to discuss the latest theoretical advancements and practical implementations of AI agents in information retrieval. Topics include AI in search, recommendation, and personalization systems. By gathering a diverse group of experts, the workshop seeks to deepen the understanding of AI agents in information retrieval, advance the field, and enhance its societal impact. Participants will gain insights into cutting-edge research and emerging trends, and foster knowledge exchange and collaboration within the community.

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Publication Details

Published
2025-05-08
DOI
https://doi.org/10.1145/3701716.3717866
Citations
1
Primary Topic
Data Mining Algorithms and Applications
Type
article
Field-Weighted Citation Impact
3.25
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The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking

Wei Liu, Julian McAuley, Linsey Pang, Philip S. Yu et al.
1 citations
Data Mining Algorithms and Applications
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article

The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking

Wei Liu, Julian McAuley, Linsey Pang, Philip S. Yu, Qingsong Wen, Zhiwei Liu, Yongfeng Zhang, Hua Wei
article en
1 citations

Abstract

The field of information retrieval has significantly transformed with the integration of AI technologies. AI agents, especially those leveraging LLMs and vast computational power, have revolutionized information retrieval, processing, and presentation. LLM agents, with advanced memory, reasoning, and planning capabilities, can perform complex tasks, engage in coherent conversations, and provide personalized responses. Despite these advancements, challenges such as ensuring relevance and accuracy, mitigating biases, providing real-time responses, and maintaining data security remain. This workshop aims to explore these challenges, share innovative solutions, and discuss future directions. It will provide a platform to bring together researchers and practitioners to discuss the latest theoretical advancements and practical implementations of AI agents in information retrieval. Topics include AI in search, recommendation, and personalization systems. By gathering a diverse group of experts, the workshop seeks to deepen the understanding of AI agents in information retrieval, advance the field, and enhance its societal impact. Participants will gain insights into cutting-edge research and emerging trends, and foster knowledge exchange and collaboration within the community.

Rutgers, The State University of New Jersey (US), University of Technology Sydney (AU), Bellevue College (US), University of California San Diego (US), University of Illinois Chicago (US), Salesforce (United States) (US), Arizona State University (US)
Openalex Percentile: Top 8%
Data Mining Algorithms and Applications
3.25
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