Evaluating and Addressing Fairness Across User Groups in Negative Sampling for Recommender Systems
Type
Publication
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, CIKM 2025, Seoul, Republic of Korea, November 10-14, 2025
Authors
Postdoc
Kacper Sokol is a postdoctoral researcher at the Faculty of Informatics, Università della Svizzera italiana (USI), affiliated with the People-Centered Computing Lab.
Research interests
His research primarily focuses on the explainability of data-driven predictive systems based on artificial intelligence and machine-learning algorithms, with a particular interest in their applications within the medical field.