MovieBot 2.0 demo paper presented at WSDM’24

IAI MovieBot is a conversational recommender system for movies developed by members of our group, Javeria Habib, Krisztian Balog, Nolwenn Bernard, Ivica Kostric, Weronika Łajewska, Martin G. Skjæveland, and Shuo Zhang. This work has been demonstrated at the 17th ACM International Conference on Web Search and Data Mining (WSDM’24), in Merida, Mexico. Have a look at the demo paper or the repository to learn more about our movie recommender system.

ECIR’24 and CHIIR’24 papers on conversational search

Some recent papers acceptances on conversational search:

  • Towards Reliable and Factual Response Generation: Detecting Unanswerable Questions in Information-seeking Conversations — short paper at ECIR’24 by Weronika Łajewska and Krisztian Balog [PDF]
  • Estimating the Usefulness of Clarifying Questions and Answers for Conversational Search — short paper at ECIR’24 by Ivan Sekulic, Weronika Łajewska, Krisztian Balog, and Fabio Crestani [PDF]
  • Towards Self-Contained Answers: Entity-Based Answer Rewriting in Conversational Search — full paper at CHIIR’24 by Ivan Sekulic, Krisztian Balog, and Fabio Crestani [PDF]

CIKM’23 contributions

Our group has two contributions accepted at CIKM’23:

  • Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation — resource paper by Weronika Łajewska and Krisztian Balog [PDF]
  • Tutorial on User Simulation for Evaluating Information Access Systems — tutorial by Krisztian Balog and ChengXiang Zhai [website]