IntRS 2025

Table of Contents

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• (De)Composing the Algorithm: Explaining Music Recommender Systems to Artists for Understanding, Transparency, and Empowerment PDF
  Zuzanna Michalewicz, Karlijn Dinnissen, Eelco Herder, Hanna Hauptmann
• From Latent Factors to Language: a User Study on LLM-generated Explanations for an Inherently Interpretable Matrix-based Recommender System PDF
  Maxime Manderlier, Fabian Lecron, Olivier Vu Thanh, Nicolas Gillis
• Nudging Healthy Choices: Leveraging LLM-Generated Hashtags and Explanations in Personalized Food Recommendations PDF
  Ayoub El Majjodi, Alain Starke, Christoph Trattner, Alessandro Petruzzelli, Cataldo Musto
• ArtEx: An Interactive Visual Art Recommendation with Diversity and Popularity Control PDF
  Bereket A. Yilma, Rully Agus Hendrawan, Peter Brusilovsky, Luis A. Leiva
• Towards LLM-Enhanced Group Recommender Systems PDF
  Sebastian Lubos, Thi Ngoc Trang Tran, Viet-Man Le, Damain Garber, Manuel Henrich, Reinhard Willfort, Jeremias Fuchs
• Surprise me! A Longitudinal User Study on Serendipitous Interface Design in News Recommender Systems PDF
  Zilin Lin, Damian Trilling, Stuart Duncan, Kasper Welbers, Susan Vermeer
• Towards LLM-Based Usability Analysis for Recommender User Interfaces PDF
  Sebastian Lubos, Alexander Felfernig, Damian Garber, Viet-Man Le, Thi Ngoc Trang Tran, Esma Karahodža, Amra Delić, Francesco Ricci, Alex Jordan, Giovanni Scarso Borioli, Davide Sola, Roberto Quaglia
• Usability and Effectiveness of Bot-Assisted Group Decision Making PDF
  Esma Karahodža, Amra Delić, Francesco Ricci
• From Months to Moments: Knowledge-Graph-Grounded LLM Co-Pilots for Strategic Decision-Making PDF
  Alex Jordan, Giovanni Scarso Borioli, Davide Sola, Roberto Quaglia