Jens Leysen

According to our database, Jens Leysen authored at least 5 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Are We Studying the Same Filter Bubble? A Conceptual Framework of the Empirical Literature.

Julien Albert, Jens Leysen, Benoît Frénay, Bruno Dumas, Lien Michiels

Proceedings of the Joint Proceedings of the ACM UMAP 2026 Workshops co-located with the 34th ACM Conference on User Modeling, 2026

2025

What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems.

Jens Leysen, Marco Favier, Bart Goethals

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2023

How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News.

Lien Michiels, Jorre T. A. Vannieuwenhuyze, Jens Leysen, Robin Verachtert, Annelien Smets, Bart Goethals

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Exploring Unlearning Methods to Ensure the Privacy, Security, and Usability of Recommender Systems.

Jens Leysen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

2022

What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work.

Lien Michiels, Jens Leysen, Annelien Smets, Bart Goethals

Proceedings of the UMAP '22: 30th ACM Conference on User Modeling, Adaptation and Personalization, Barcelona, Spain, July 4, 2022