Trustworthy User Modeling and Recommendation From Technical and Regulatory Perspectives

Markus Schedl, Vito Walter Anelli, Elisabeth Lex
January, 2024
Cite DOI URL
Type
Conference paper
Publication
Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization
diversity ethics explainability fairness learning to rank non-discrimination privacy ranking models recommender systems regulation security transparency