The thesis identifies theoretical, empirical, and conceptual flaws in offline fairness measures for recommender systems and contributes new evaluation methods and practical guidelines.
Addressing marketing bias in product recommendations.WSDM 2020 - Proceedings of the 13th International Conference on Web Search and Data Mining, pages 618–626, 1 2020
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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.