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Meta-Prod2Vec - Product Embeddings Using Side-Information for Recommendation., , и . CoRR, (2016)REVEAL 2020: Bandit and Reinforcement Learning from User Interactions., , , , , и . RecSys, стр. 628-629. ACM, (2020)Learning a Named Entity Tagger from Gazetteers with the Partial Perceptron., , и . AAAI Spring Symposium: Learning by Reading and Learning to Read, стр. 7-13. AAAI, (2009)Improving Offline Contextual Bandits with Distributional Robustness., , и . CoRR, (2020)RecoGym: A Reinforcement Learning Environment for the problem of Product Recommendation in Online Advertising., , , , и . CoRR, (2018)Resolving Surface Forms to Wikipedia Topics., , , , и . COLING, стр. 1335-1343. Tsinghua University Press, (2010)DLRS 2018: third workshop on deep learning for recommender systems., , , , , , и . RecSys, стр. 512-513. ACM, (2018)Relaxed softmax for PU learning., и . RecSys, стр. 119-127. ACM, (2019)REVEAL 2019: closing the loop with the real world: reinforcement and robust estimators for recommendation., , , , , и . RecSys, стр. 568-569. ACM, (2019)Cost-sensitive Learning for Utility Optimization in Online Advertising Auctions., , и . ADKDD@KDD, стр. 8:1-8:6. ACM, (2017)