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N. Tintarev

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Open access Sep 2026

Introduction to the Special Issue on Recommender Systems for Good

In this special issue, we bring together contributions that frame recommender systems for good as a broader reorientation of recommender systems research toward societal impact, responsibility, inclusion, and beneficial intervention. The papers collected here help define the emerging RS4Good agenda, examine its risks a...

Marko Tkalcic, Antonela Tommasel, Noemi Mauro et al. · 0 citations
#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

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