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RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline., , , , , , , , , and 2 other author(s). RecSys, page 819-824. ACM, (2021)bfkNN-Embed: Locally Smoothed Embedding Mixtures for Multi-interest Candidate Retrieval., , , , , and . PAKDD (3), volume 13937 of Lecture Notes in Computer Science, page 374-386. Springer, (2023)RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline., , , , , , , , , and 5 other author(s). RecSys, page 623-627. ACM, (2020)The 2021 RecSys Challenge Dataset: Fairness is not optional., , , , , , , , , and 3 other author(s). RecSys Challenge, page 1-6. ACM, (2021)Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline., , , , , , , , , and 5 other author(s). CoRR, (2020)TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation., , , , , , , , , and 1 other author(s). KDD, page 2842-2850. ACM, (2022)