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Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features.

, , , , and . BIAS, volume 1418 of Communications in Computer and Information Science, page 1-8. Springer, (2021)

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FAIR: Fairness-Aware Information Retrieval Evaluation., , and . CoRR, (2021)University of Washington at TREC 2020 Fairness Ranking Track., , , , and . TREC, volume 1266 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)Towards Fairness-Aware Ranking by Defining Latent Groups Using Inferred Features., , , , and . BIAS, volume 1418 of Communications in Computer and Information Science, page 1-8. Springer, (2021)How Well do Offline Metrics Predict Online Performance of Product Ranking Models?, , , , and . SIGIR, page 3415-3420. ACM, (2023)Facets of Fairness in Search and Recommendation., , and . BIAS, volume 1245 of Communications in Computer and Information Science, page 1-11. Springer, (2020)Counteracting Bias and Increasing Fairness in Search and Recommender Systems., and . RecSys, page 745-747. ACM, (2020)Towards Long-term Fairness in Recommendation., , , , , , , , , and 1 other author(s). WSDM, page 445-453. ACM, (2021)Interleaved Online Testing in Large-Scale Systems., , , , and . WWW (Companion Volume), page 921-926. ACM, (2023)How Fair Can We Go: Detecting the Boundaries of Fairness Optimization in Information Retrieval., and . ICTIR, page 229-236. ACM, (2019)Addressing Bias and Fairness in Search Systems., and . SIGIR, page 2643-2646. ACM, (2021)