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Research on fairness in machine learning has been recently extended to recommender systems.
Beyond Personalization: Research Directions in Multistakeholder Recommendation
Himan Abdollahpouri, Gediminas Adomavicius, Robin Burke, Ido Guy, Dietmar Jannach, Toshihiro Kamishima, Jan Krasnodebski, and Luiz Augusto Pizzato. 2019 · 1905
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Controlling Popularity Bias in Learning-to-Rank Recommendation. In RecSys ’17 Proceedings of the Eleventh ACM Conference on Recommender Systems . 42–46
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Bias Disparity in Recommendation Systems
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