Research output per year
Research output per year
Search results
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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, (Accepted/In press) 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, 11 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access -
What is Serendipity? An Interview Study to Conceptualize Experienced Serendipity in Recommender Systems
Binst, B., Michiels, L. & Smets, A., 17 Jun 2025, Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. The ACM Digital Library, p. 243-252 10 p.Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access -
2024
GenUI(ne) CRS: UI Elements and Retrieval-Augmented Generation in Conversational Recommender Systems with LLMs
Maes, U., Michiels, L. & Smets, A., 8 Oct 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 AccessFile84 Downloads (Pure) -
How to Evaluate Serendipity in Recommender Systems: the Need for a Serendiptionnaire
Binst, B., 8 Oct 2024, RecSys '24: Proceedings of the 18th ACM Conference on Recommender Systems. Bari: ACM, p. 1335-1341 7 p. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open Access -
Informed Dataset Selection with ‘Algorithm Performance Spaces’
Beel, J., Wegmeth, L., Michiels, L. & Schulz, S., 8 Oct 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. (eds.). ACM, p. 1085-1090 6 p. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile6 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 Oct 2024, RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems. ACM, p. 1242-1244 3 p. (RecSys 2024 - Proceedings of the 18th ACM Conference on Recommender Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile9 Downloads (Pure) -
Towards a Pragmatic Approach for studying Normative Recommender Systems: Exploring Power Dynamics in Digital Platform Markets
Binst, B., Vandenbroucke, H., Li, D., Puskas, I., Van der Elst, P. & Smets, A., 12 Feb 2024, In: CEUR workshop proceedings. 3639, NA, p. 1-14 14 p.Research output: Contribution to journal › Conference paper
Open AccessFile162 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 Sept 2023, Proceedings of the 17th ACM Conference on Recommender Systems. ACM Digital Library, p. 640–651 12 p. (Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Open AccessFile9 Citations (Scopus)