Interactive Query Clarification and Refinement via
User Simulation - Abstract
Pierre Erbacher1,* , Ludovic Denoyer2 and Laure Soulier1
1
    Sorbonne Université, ISIR, Paris, France
2
    Sorbonne Université, (Currently Working at Ubisoft)


                                         Abstract
                                         [Accepted as a short paper at SIGIR 2022]
                                         When users initiate search sessions, their query are often ambiguous or might lack of context; this
                                         resulting in non-efficient document ranking. Multiple approaches have been proposed by the Information
                                         Retrieval community to add context and retrieve documents aligned with users’ intents. While some
                                         work focus on query disambiguation using users’ browsing history, a recent line of work proposes to
                                         interact with users by asking clarification questions or/and proposing clarification panels. However, these
                                         approaches count either a limited number (i.e., 1) of interactions with user or log-based interactions. In
                                         this paper, we propose and evaluate a fully simulated query clarification framework allowing multi-turn
                                         interactions between IR systems and user agents.

                                         Keywords
                                         Interactive Information retrieval, User simulation, Sequential Query clarification,




CIRCLE’22, July 4-7, 2022, Samatan, Gers, France
*
 Coresponding author
$ pierre.erbacher@isir.upmc.fr (P. Erbacher)
                                       © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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