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Filip Radlinski

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Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences

Jul 26, 2023
Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon

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Measuring the Impact of Explanation Bias: A Study of Natural Language Justifications for Recommender Systems

Mar 16, 2023
Krisztian Balog, Filip Radlinski, Andrey Petrov

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Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset

Mar 13, 2023
Arun Tejasvi Chaganty, Megan Leszczynski, Shu Zhang, Ravi Ganti, Krisztian Balog, Filip Radlinski

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Generating Synthetic Data for Conversational Music Recommendation Using Random Walks and Language Models

Jan 27, 2023
Megan Leszczynski, Ravi Ganti, Shu Zhang, Krisztian Balog, Filip Radlinski, Fernando Pereira, Arun Tejasvi Chaganty

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Resolving Indirect Referring Expressions for Entity Selection

Dec 21, 2022
Mohammad Javad Hosseini, Filip Radlinski, Silvia Pareti, Annie Louis

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On Natural Language User Profiles for Transparent and Scrutable Recommendation

May 19, 2022
Filip Radlinski, Krisztian Balog, Fernando Diaz, Lucas Dixon, Ben Wedin

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Conversational Information Seeking

Jan 21, 2022
Hamed Zamani, Johanne R. Trippas, Jeff Dalton, Filip Radlinski

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Soliciting User Preferences in Conversational Recommender Systems via Usage-related Questions

Nov 26, 2021
Ivica Kostric, Krisztian Balog, Filip Radlinski

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On Interpretation and Measurement of Soft Attributes for Recommendation

May 19, 2021
Krisztian Balog, Filip Radlinski, Alexandros Karatzoglou

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"I'd rather just go to bed": Understanding Indirect Answers

Oct 07, 2020
Annie Louis, Dan Roth, Filip Radlinski

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