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Non Stationary Multi-Armed Bandit: Empirical Evaluation of a New Concept Drift-Aware Algorithm., , , и . Entropy, 23 (3): 380 (2021)A Systematic Study on Reproducibility of Reinforcement Learning in Recommendation Systems., , , и . Trans. Recomm. Syst., 1 (3): 1-23 (сентября 2023)Knowledge Models for Diagnosing Postharvest Diseases of Apples., , , , и . JOWO, том 2518 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Counterfactual Contextual Multi-Armed Bandit to Diagnose Post-Harvest Diseases of Apple., , и . WI/IAT, стр. 241-248. ACM, (2021)Towards a deep learning model for hybrid recommendation., , , и . WI, стр. 1260-1264. ACM, (2017)Picture-based and conversational decision support to diagnose post-harvest apple diseases., , , , и . Expert Syst. Appl., (2022)An Analysis of User Click Behaviour in Online Hotel Search., , , , , и . IIR, том 3177 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)An Online Experiment of a Price-Based Re-Rank Algorithm., , , , , и . RecTour@RecSys, том 3219 из CEUR Workshop Proceedings, стр. 83-91. CEUR-WS.org, (2022)RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline., , , , , , , , , и 5 other автор(ы). RecSys, стр. 623-627. ACM, (2020)Contextual multi-armed bandit strategies for diagnosing post-harvest diseases of apple., , , и . IUI, стр. 83-87. ACM, (2020)