Report on the 1st Workshop on User Modelling in Conversational Information Retrieval (UM-CIR 2024) at SIGIR-AP 2024 and Workshop on Emerging Trends in Conversational Information Retrieval (ET-CIR 2024) at National Institute of Informatics (NII)

Conversational Information Retrieval (CIR) has seen growing interest for a number of years, gaining momentum in recent years, driven in large part by the emergence of generative AI and the increasing capabilities of conversational agents. To date, much of the CIR research within the information retr...

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Bibliographic Details
Published in:SIGIR forum 2025-06, Vol.59 (1), p.1-7
Main Authors: Acharya, Praveen, Jones, Gareth J. F., Fu, Xiao, Crestani, Fabio, Kando, Noriko
Format: Article
Language:English
Subjects:
Information systems
Information systems / Information retrieval
Information systems / Information retrieval / Retrieval models and ranking
Information systems / Information retrieval / Retrieval tasks and goals
Information systems / Information retrieval / Retrieval tasks and goals / Information extraction
Information systems / Information retrieval / Retrieval tasks and goals / Question answering
Information systems / Information retrieval / Users and interactive retrieval
Information systems / Information retrieval / Users and interactive retrieval / Collaborative search
Information systems / Information retrieval / Users and interactive retrieval / Personalization
Information systems / World Wide Web
Information systems / World Wide Web / Web searching and information discovery
Information systems / World Wide Web / Web searching and information discovery / Personalization
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