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Recent Advances in the Foundations and Applications of Unbiased Learning to Rank.

, , , , and . SIGIR, page 3440-3443. ACM, (2023)

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On the Impact of Outlier Bias on User Clicks., , , , and . SIGIR, page 18-27. ACM, (2023)Repetition and Exploration in Sequential Recommendation., , , and . SIGIR, page 2532-2541. ACM, (2023)Recent Advances in the Foundations and Applications of Unbiased Learning to Rank., , , , and . SIGIR, page 3440-3443. ACM, (2023)Unbiased Learning to Rank: On Recent Advances and Practical Applications., , , , and . WSDM, page 1118-1121. ACM, (2024)Probabilistic Permutation Graph Search: Black-Box Optimization for Fairness in Ranking., , and . SIGIR, page 715-725. ACM, (2022)Cascade Model-based Propensity Estimation for Counterfactual Learning to Rank., , and . SIGIR, page 2089-2092. ACM, (2020)The University of Amsterdam at the TREC 2021 Fair Ranking Track., , , , , , and . TREC, volume 500-335 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2021)Intersection of Parallels as an Early Stopping Criterion., , and . CIKM, page 1965-1974. ACM, (2022)The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking., , , and . SIGIR, page 1514-1524. ACM, (2024)Bridging Search and Recommendation in Generative Retrieval: Does One Task Help the Other?, , , , and . RecSys, page 340-349. ACM, (2024)