- 8 resultaten
Zoekresultaten
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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. ACMOnderzoeksoutput: Conference paper
Open AccessBestand9 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 blz. (CEUR Workshop Proceedings).Onderzoeksoutput: Conference paper
Open AccessBestand2 Downloads (Pure) -
What is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems
Binst, B., Michiels, L. & Smets, A., 13 jun. 2025, UMAP 2025 - Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. The ACM Digital Library, blz. 243-252 10 blz.Onderzoeksoutput: Conference paper
Open Access6 Citaten (Scopus) -
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, blz. 1177-1179 3 blz. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).Onderzoeksoutput: Conference paper
Open AccessBestand7 Citaten (Scopus)134 Downloads (Pure) -
How to Evaluate Serendipity in Recommender Systems: the Need for a Serendiptionnaire
Binst, B., 8 okt. 2024, RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems. Bari: ACM, blz. 1335-1341 7 blz. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).Onderzoeksoutput: Conference paper
Open Access2 Citaten (Scopus) -
Informed Dataset Selection with ‘Algorithm Performance Spaces’
Beel, J., Wegmeth, L., Michiels, L. & Schulz, S., 8 okt. 2024, RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems. Di Noia, T., Lops, P., Joachims, T., Verbert, K., Castells, P., Dong, Z. & London, B. (reds.). ACM, blz. 1085-1090 6 blz. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).Onderzoeksoutput: Conference paper
Open AccessBestand2 Citaten (Scopus)25 Downloads (Pure) -
NORMalize 2024: The Second Workshop on Normative Design and Evaluation of Recommender Systems
Starke, A. D., Vrijenhoek, S., Michiels, L., Kruse, J. & Tintarev, N., 8 okt. 2024, RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems. ACM, blz. 1242-1244 3 blz. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).Onderzoeksoutput: Conference paper
Open AccessBestand39 Downloads (Pure) -
2023
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News
Michiels, L., Vannieuwenhuyze, J., Leysen, J., Verachtert, R., Smets, A. & Goethals, B., 14 sep. 2023, Proceedings of the 17th ACM Conference on Recommender Systems. ACM Digital Library, blz. 640–651 12 blz. (Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023).Onderzoeksoutput: Conference paper
Open AccessBestand13 Citaten (Scopus)39 Downloads (Pure)