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Preface to the special issue on fair, accountable, and transparent recommender systems.

, , , and . User Model. User Adapt. Interact., 31 (3): 371-375 (2021)

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RecBench: Benchmarks for Evaluating Performance of Recommender System Architectures., , , , , and . Proc. VLDB Endow., 4 (11): 911-920 (2011)Collaborative Filtering Recommender Systems., , and . Found. Trends Hum. Comput. Interact., 4 (2): 175-243 (2011)Overview of the TREC 2019 Fair Ranking Track., , , and . CoRR, (2020)Recommender Systems Notation: Proposed Common Notation for Teaching and Research., and . CoRR, (2019)Responsible AI Research Needs Impact Statements Too., , , and . CoRR, (2023)Estimation of Fair Ranking Metrics with Incomplete Judgments., , , , , and . WWW, page 1065-1075. ACM / IW3C2, (2021)Evaluating Stochastic Rankings with Expected Exposure., , , , and . CIKM, page 275-284. ACM, (2020)Privacy as a Planned Behavior: Effects of Situational Factors on Privacy Perceptions and Plans., , , and . UMAP, page 169-178. ACM, (2021)Multiple Testing for IR and Recommendation System Experiments., and . ECIR (3), volume 14610 of Lecture Notes in Computer Science, page 449-457. Springer, (2024)Workshop on Fairness, Accountability, Confidentiality, Transparency, and Safety in Information Retrieval (FACTS-IR)., , , and . SIGIR, page 1423-1425. ACM, (2019)