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The Effect of Homophily on Disparate Visibility of Minorities in People Recommender Systems.

, , , and . ICWSM, page 165-175. AAAI Press, (2020)

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Using Collaborative Filtering to Overcome the Curse of Dimensionality when Clustering Users in a Group Recommender System., and . ICEIS (2), page 564-572. SciTePress, (2014)ACM UMAP 2022 report: 30th ACM conference on user modeling, adaptation and personalization., , , , and . SIGWEB Newsl., 2022 (Autumn): 1:1-1:5 (Fall 2022)Reinforcement Recommendation Reasoning through Knowledge Graphs for Explanation Path Quality., , , and . CoRR, (2022)Preface and Keynote's Talk of the Workshop on Social Interaction-based Recommendation (SIR 2018)., , , , and . CIKM Workshops, volume 2482 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Group Recommender Systems: State of the Art, Emerging Aspects and Techniques, and Research Challenges.. ECIR, volume 9626 of Lecture Notes in Computer Science, page 889-892. Springer, (2016)International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2020)., , , and . ECIR (2), volume 12036 of Lecture Notes in Computer Science, page 637-640. Springer, (2020)A Text Mining Approach to Extract and Rank Innovation Insights from Research Projects., , , and . WISE (2), volume 12343 of Lecture Notes in Computer Science, page 143-154. Springer, (2020)Consumer Fairness Benchmark in Recommendation., , , and . IIR, volume 3448 of CEUR Workshop Proceedings, page 60-65. CEUR-WS.org, (2023)The Effect of Algorithmic Bias on Recommender Systems for Massive Open Online Courses., , and . ECIR (1), volume 11437 of Lecture Notes in Computer Science, page 457-472. Springer, (2019)Fourth International Workshop on Algorithmic Bias in Search and Recommendation (Bias 2023)., , , and . ECIR (3), volume 13982 of Lecture Notes in Computer Science, page 373-376. Springer, (2023)