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Calibration in Collaborative Filtering Recommender Systems: a User-Centered Analysis.

, , , and . HT, page 197-206. ACM, (2020)

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Calibration in Collaborative Filtering Recommender Systems, , , and . Proceedings of the 31st ACM Conference on Hypertext and Social Media, page 187-206. ACM, (July 2020)Fairness and Discrimination in Retrieval and Recommendation., , and . SIGIR, page 1403-1404. ACM, (2019)Automating recommender systems experimentation with librec-auto., , , and . RecSys, page 500-501. ACM, (2018)Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12 (4): 331-370 (2002)Fairness and Discrimination in Information Access Systems., , , and . CoRR, (2021)Hybrid Web Recommender Systems The Adaptive Web. The Adaptive Web, volume 4321 of Lecture Notes in Computer Science, chapter 12, Springer Berlin / Heidelberg, Berlin, Heidelberg, (2007)Multi-agent Social Choice for Dynamic Fairness-aware Recommendation., , , , and . UMAP (Adjunct Publication), page 234-244. ACM, (2022)Unsupervised Clustering with Smoothing for Detecting Paratext Boundaries in Scanned Documents., , and . JCDL, page 53-56. IEEE, (2019)Algorithm Selection with Librec-auto., and . AMIR@ECIR, volume 2360 of CEUR Workshop Proceedings, page 11-17. CEUR-WS.org, (2019)The Unfairness of Popularity Bias in Recommendation., , , and . RMSE@RecSys, volume 2440 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)