‪Jens Leysen‬ - ‪Google Scholar‬

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Co-authors

Annelien Smetsimec-SMIT, Vrije Universiteit BrusselVerified email at smitresearch.be
Bart GoethalsProfessor of Computer Science, University of AntwerpVerified email at uantwerpen.be
Lien MichielsPhD Student in Computer Science, University of AntwerpVerified email at uantwerpen.be
Robin VerachtertDPG MediaVerified email at dpgmedia.be

Jens Leysen

Jens Leysen

PhD Student in Computer Science, University of Antwerp

Verified email at uantwerpen.be

Machine Learning Responsible AI Recommender Systems


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What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work J Leysen, L Michiels, B Goethals, A Smets Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation …, 2022	31*	2022
Exploring Unlearning Methods to Ensure the Privacy, Security, and Usability of Recommender Systems J Leysen Proceedings of the 17th ACM Conference on Recommender Systems, 1300-1304, 2023	2	2023
How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News L Michiels, J Vannieuwenhuyze, J Leysen, R Verachtert, A Smets, ... Proceedings of the 17th ACM Conference on Recommender Systems, 640-651, 2023	1	2023

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