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Dive into the research topics where Ulysse Maes is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Projects
- 1 Active
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FWOTM1251: Nudging towards viewpoint diversity? Evaluating the impact of LLM-enabled explanations on diversity consumption in news recommender
Maes, U. (Mandate), Smets, A. (Administrative Promotor) & Raats, T. (CoI (Co-Promotor))
1/11/24 → 31/10/28
Project: Fundamental
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Let Me Introduce You: Stimulating Taste-Broadening Serendipity Through Song Introductions
Binst, B., Maes, U., Willemsen, M. C. & Smets, A., 7 Jun 2026, UMAP 2026 - Proceedings of the 34th ACM International Conference on User Modeling, Adaptation and Personalization. ACM, p. 127-136 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile18 Downloads (Pure) -
Towards Adaptive Mixed-Initiative Media Recommender Systems with LLMs
Maes, U., 22 Mar 2026, Companion Proceedings of the 31st International Conference on Intelligent User Interfaces, IUI 2026 Companion. ACM, p. 231-233 3 p. (International Conference on Intelligent User Interfaces, Proceedings IUI).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access -
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, Vol. 3957. p. 95-111 17 p. (CEUR Workshop Proceedings).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile6 Downloads (Pure) -
Not One News Recommender To Fit Them All: How Different Recommender Strategies Serve Various User Segments
Vandenbroucke, H., Maes, U., Michiels, L. & Smets, A., 7 Aug 2025, RecSys2025 - Proceedings of the 19th ACM Conference on Recommender Systems. Bielikova, M., Kordik, P., Schedl, M., de Gemmis, M., Pera, S., Alves, R., Jeunen, O. & Ostuni, V. (eds.). ACM, p. 643 - 648 6 p. (RecSys2025 - Proceedings of the 19th ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
File3 Citations (Scopus)181 Downloads (Pure) -
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 AccessFile7 Citations (Scopus)148 Downloads (Pure)
Prizes
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Best Student Paper Award
Binst, B. (Recipient), Maes, U. (Recipient), Willemsen, M. C. (Recipient) & Smets, A. (Recipient), 10 Jun 2026
Prize: Prize (including medals and awards)
File
Activities
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Best practices for responsible news recommender design
Vandenbroucke, H. (Participant), Maes, U. (Participant) & Errando, A. (Participant)
23 Sept 2024Activity: Participating in or organising an event › Participation in workshop, seminar
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NORMalize: The Second Workshop on Normative Design and Evaluation of Recommender Systems (Event)
Maes, U. (Peer reviewer)
26 Jul 2024Activity: Publication peer-review and editorial work › Publication peer-review
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Exploring the influence of misleading explanations on the perceived quality of recommender systems
Maes, U. (Speaker)
9 Feb 2024Activity: Talk or presentation › Talk or presentation at a conference
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Nudging towards viewpoint diversity? Evaluating the impact of LLM-enabled explanations on diversity consumption in news recommenders
Maes, U. (Contributor)
30 Nov 0001Activity: Other › Written proposal