‪Jens Leysen‬ - ‪Google Scholar‬

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Medförfattare

Annelien Smetsimec-SMIT, Vrije Universiteit BrusselVerifierad e-postadress på smitresearch.be
Bart GoethalsProfessor of Computer Science, University of AntwerpVerifierad e-postadress på uantwerpen.be
Lien MichielsPhD Student in Computer Science, University of AntwerpVerifierad e-postadress på uantwerpen.be
Robin VerachtertDPG MediaVerifierad e-postadress på dpgmedia.be

Jens Leysen

Jens Leysen

PhD Student in Computer Science, University of Antwerp

Verifierad e-postadress på uantwerpen.be

Machine Learning Responsible AI Recommender Systems


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
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	35*	2022
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	3	2023
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

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