6 papers
RecQuest: Towards Estimating User Domain Knowledge in Conversational Recommender Systems
Ivica Kostric, Ujwal Gadiraju, Krisztian Balog
The ideal conversational recommender system (CRS) acts like a savvy salesperson, adapting its language and suggestions to a user's expertise level. However, most current systems tr…
A Standardized Re-evaluation of Conversational Recommender Systems on the ReDial Dataset
Ivica Kostric, Krisztian Balog
Recent years have seen a surge of research into conversational recommender systems (CRS). Among existing datasets, ReDial is the most widely used benchmark, cited in hundreds of st…
UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses
Weronika Åajewska, Ivica Kostric, Gabriel Iturra-Bocaz +2
Retrieval-augmented generation (RAG) faces challenges related to factual correctness, source attribution, and response completeness. The LiveRAG Challenge hosted at SIGIR'25 aims t…
Should We Tailor the Talk? Understanding the Impact of Conversational Styles on Preference Elicitation in Conversational Recommender Systems
Ivica Kostric, Krisztian Balog, Ujwal Gadiraju
Conversational recommender systems (CRSs) provide users with an interactive means to express preferences and receive real-time personalized recommendations. The success of these sy…
Generating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems
Ivica Kostric, Krisztian Balog, Filip Radlinski
A key distinguishing feature of conversational recommender systems over traditional recommender systems is their ability to elicit user preferences using natural language. Currentl…
A Surprisingly Simple yet Effective Multi-Query Rewriting Method for Conversational Passage Retrieval
Ivica Kostric, Krisztian Balog
Conversational passage retrieval is challenging as it often requires the resolution of references to previous utterances and needs to deal with the complexities of natural language…