activity
20212026
most citedGenerating Usage-related Questions for Preference Elicitation in Conversational Recommender Systems

16 citations · 21 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IR2026

Faithful Query Resolution for Conversational Search

Saber Zerhoudi, Ivica Kostric, Jelena Mitrovic

Conversational query rewriting makes context-dependent requests explicit for retrieval, but additional context can introduce an information need the user did not express. This rais…

cs.IR2026★ 1 cited

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…

cs.IR2025

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…

cs.IR2025

UiS-IAI@LiveRAG: Retrieval-Augmented Information Nugget-Based Generation of Responses

Weronika Łajewska, 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…

cs.HC2025

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…

cs.IR2024

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…

cs.IR2024★ 1 cited

IAI MovieBot 2.0: An Enhanced Research Platform with Trainable Neural Components and Transparent User Modeling

Nolwenn Bernard, Ivica Kostric, Krisztian Balog

While interest in conversational recommender systems has been on the rise, operational systems suitable for serving as research platforms for comprehensive studies are currently la…

cs.HC2024

PKG API: A Tool for Personal Knowledge Graph Management

Nolwenn Bernard, Ivica Kostric, Weronika Łajewska +4

Personal knowledge graphs (PKGs) offer individuals a way to store and consolidate their fragmented personal data in a central place, improving service personalization while maintai…

cs.IR2022★ 3 cited

DAGFiNN: A Conversational Conference Assistant

Ivica Kostric, Krisztian Balog, Tølløv Alexander Aresvik +10

DAGFiNN is a conversational conference assistant that can be made available for a given conference both as a chatbot on the website and as a Furhat robot physically exhibited at th…

cs.IR2021★ 16 cited

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…