Publications

2023

• Leysen, J. (2023). Exploring Unlearning Methods to Ensure the Privacy, Security, and Usability of Recommender Systems. Proceedings of the 17th ACM Conference on Recommender Systems. Access on ACM.

• Michiels, L., Vannieuwenhuyze, J., Leysen, J., Verachtert, R., Smets, A., & Goethals, B. (2023). How Should We Measure Filter Bubbles? A Regression Model and Evidence for Online News. Proceedings of the 17th ACM Conference on Recommender Systems. Access on ACM.

2022

• Leysen, J., Michiels, L., Smets, A., & Goethals, B. (2022). What Are Filter Bubbles Really? A Review of the Conceptual and Empirical Work. Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization. Access on ACM.