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Author

Francesco Barile

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Book Open access Sep 2026

RecSys Challenge 2026: Conversational Music Recommendation

The RecSys Challenge 2026 focuses on the evolving landscape of music discovery, where static recommendation lists are being replaced by dynamic, conversational interactions. As users increasingly interact with AI through natural language, there is a critical need for systems that can seamlessly integrate Natural Langua...

Seungheon Doh, Sergio Oramas, B. Sguerra et al. · 1 citation
#large language models Open access Sep 2026

Consistent Explainers or Unreliable Narrators: Systematic Differences in Consistency and Sensitivity Across Large Language Models for Group Recommendations

Group Recommender Systems (GRS) face the challenge of combining conflicting individual preferences. While Large Language Models (LLMs) are increasingly integrated into GRS, they may introduce risks regarding output inconsistency or sensitivity to group characteristics. In this paper, we analyze LLMs acting as both deci...

Cedric Waterschoot, N. Tintarev, Francesco Barile · 0 citations
#large language models Book Open access Sep 2026

Overview and Analysis of the RecSys Challenge 2026: Conversational Music Recommendation

This paper presents the RecSys Challenge 2026 challenge task, dataset, evaluation protocol, and official results, and identifies limitations of the benchmark and evaluation protocol, including single-ground-truth relevance and teacher-forced evaluation of synthetic dialogues.

Seungheon Doh, Sergio Oramas, B. Sguerra et al. · 0 citations

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