The thesis identifies theoretical, empirical, and conceptual flaws in offline fairness measures for recommender systems and contributes new evaluation methods and practical guidelines.
Towards Long-term Fairness in Recommendation.WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining, pages 445–453, 8 2021
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Offline Evaluation Measures of Fairness in Recommender Systems
The thesis identifies theoretical, empirical, and conceptual flaws in offline fairness measures for recommender systems and contributes new evaluation methods and practical guidelines.