Acharya, Praveen ORCID: 0000-0001-5181-9831, Jones, Gareth J. F., Fu, Xiao, Lipani, Aldo, Crestani, Fabio and Kando, Noriko
(2024)
The 1st Workshop on User Modelling in Conversational Information Retrieval (UM-CIR).
Proceedings of the 2024 Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region
.
pp. 315-317.
ISSN 9798400707247
Conversational Information Retrieval (CIR) has attracted growing
research interest in recent years, particularly since the emergence of
conversational agents that leverage generative AI methods. Within
the information retrieval community, a substantial body of research
has emerged, particularly centred around initiatives such as the
TREC CAsT and iKAT tracks. These tracks have been instrumental in providing datasets that facilitate research in CIR and enable
a comparative analysis of various approaches to conversational
search. Most of the existing efforts within these tracks have concentrated on the interactive dialogue between the searcher and the CIR system. The task has generally overlooked the potential contribution of User modelling for effective CIR. Recognizing the importance of this dimension, the goal of the workshop is to create a collaborative framework for investigating user modelling and its evaluation in the context of CIR. We invite participants to share their insights and proposals regarding User modelling in CIR, particularly in relation to algorithm design, system personalization, and the methods through which these models can be simulated and assessed. By fostering dialogue and collaboration among researchers and practitioners, we aim to deepen our understanding of how effective User modelling might enhance conversational search experiences and lead to more refined and user-centred retrieval systems.
Item Type: | Article (Published) |
---|---|
Refereed: | Yes |
Uncontrolled Keywords: | Conversational information retrieval, personalization, user knowledge, user modeling, user-centered evaluation |
Subjects: | Computer Science > Computer engineering Computer Science > Computer software |
DCU Faculties and Centres: | DCU Faculties and Schools > Faculty of Engineering and Computing DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing |
Publisher: | Association for Computing Machinery |
Official URL: | https://dl.acm.org/doi/10.1145/3673791.3698436 |
Copyright Information: | Authors |
ID Code: | 30721 |
Deposited On: | 30 Jan 2025 13:21 by Gordon Kennedy . Last Modified 30 Jan 2025 13:21 |
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