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Exposure-Aware Recommendation using Contextual Bandits., , и . CoRR, (2022)Fairness of Exposure in Dynamic Recommendation., и . CoRR, (2023)The Impact of Popularity Bias on Fairness and Calibration in Recommendation., , , и . CoRR, (2019)The Relationship between the Consistency of Users' Ratings and Recommendation Calibration., , , и . CoRR, (2019)Flatter is better: Percentile Transformations for Recommender Systems., , и . CoRR, (2019)Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison., , , и . RMSE@RecSys, том 2440 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Experimentation with fairness-aware recommendation using librec-auto: hands-on tutorial., , и . FAT*, стр. 700. ACM, (2020)Investigating Potential Factors Associated with Gender Discrimination in Collaborative Recommender Systems., , , , , и . FLAIRS, стр. 193-196. AAAI Press, (2020)Improving recommender systems' performance on cold-start users and controversial items by a new similarity model., и . IJWIS, 12 (2): 126-149 (2016)Flatter Is Better: Percentile Transformations for Recommender Systems., , и . ACM Trans. Intell. Syst. Technol., 12 (2): 19:1-19:16 (2021)