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A Clustering Approach for Personalizing Diversity in Collaborative Recommender Systems.

, , and . UMAP, page 280-284. ACM, (2017)

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AACORN: A CBR Recommender for Academic Advising, and . Technical Report TR05-015, DePaul University, (2005)Localized Fairness in Recommender Systems., and . UMAP (Adjunct Publication), page 295-300. ACM, (2019)Bias Disparity in Collaborative Recommendation: Algorithmic Evaluation and Comparison., , , and . RMSE@RecSys, volume 2440 of CEUR Workshop Proceedings, CEUR-WS.org, (2019)Using Uncertain Graphs to Automatically Generate Event Flows from News Stories., , and . HT (Extended Proceedings), volume 1914 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Fair Candidate Ranking with Spatial Partitioning: Lessons from the SIOP ML competition., , and . HR@RecSys, volume 2967 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Recommend Me? Designing Fairness Metrics with Providers., , , and . FAccT, page 2389-2399. ACM, (2024)Personalized fairness-aware re-ranking for microlending., , , , and . RecSys, page 467-471. ACM, (2019)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)Fairness and Discrimination in Retrieval and Recommendation., , and . SIGIR, page 1403-1404. ACM, (2019)Hybrid Recommender Systems: Survey and Experiments. User Modeling and User-Adapted Interaction, 12 (4): 331-370 (2002)