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]

Petra Galuscakova joins IAI

Associate Professor Petra Galuscakova joins IAI as a faculty member. Petra will work on an intersection of information retrieval and natural language processing. She is interested in providing robust access strategies for complex search scenarios, such as cross-language retrieval and speech retrieval. Petra holds a PhD from Charles University in Prague, after which she spent some time at the University of Maryland and Université Grenoble-Alpes.

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]

IAI outing and hackathon

We spent two days in the Grand Hotell in Egersund working on a framework for Personal Knowledge Graphs (PKGs). The outing was devoted to discussions, hands-on coding, and group activities. The PKG ecosystem has been defined in our recently submitted paper. Apart from hard work, we made use of beautiful weather and enjoyed a hike to Trollpikken. Photos from the outing can be found here.