Nudging towards viewpoint diversity? Evaluating the impact of LLM-enabled explanations on diversity consumption in news recommender

Maes, Ulysse (Mandate)
Smets, Annelien (Administrative Promotor)
Raats, Tim (CoI (Co-Promotor))

3 results

2026
Let Me Introduce You: Stimulating Taste-Broadening Serendipity Through Song Introductions
Binst, B., Maes, U., Willemsen, M. C. & Smets, A., 2026, (Accepted/In press) 34th ACM Conference on User Modeling, Adaptation and Personalization. ACM
Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Open Access
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1 Downloads (Pure)
2025

Mitigating Misleadingness in LLM-Generated Natural Language Explanations for Recommender Systems: Ensuring Broad Truthfulness Through Factuality and Faithfulness
Maes, U., Michiels, L. & Smets, A., 2025, Joint Proceedings of the ACM IUI 2025 Workshops co-located with the 30th Annual ACM Conference on Intelligent User Interfaces (IUI 2025). CEUR Workshop Proceedings, 17 p. (CEUR Workshop Proceedings).
Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Open Access
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1 Downloads (Pure)
2024
GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs
Maes, U., Michiels, L. & Smets, A., 2024, Proceedings of the 18th ACM Conference on Recommender Systems. Bari: ACM, p. 1177-1179 3 p. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Open Access
File
3 Citations (Scopus)

129 Downloads (Pure)