Being diverse is not enough: Rethinking diversity evaluation to meet challenges of news recommender systems
Published in FairUMAP workshop as part of the 30st ACM Conference on User Modeling, Adaptation and Personalization, 2022
Recommended citation: Treuillier, C., Castagnos, S., Dufraisse, E., & Brun, A. (2022, July). Being diverse is not enough: Rethinking diversity evaluation to meet challenges of news recommender systems. In Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization (pp. 222-233).
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