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Reinforcement Learning to Diversify Top-N Recommendation., , , , , и . DASFAA (2), том 11447 из Lecture Notes in Computer Science, стр. 104-120. Springer, (2019)Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures., , , , и . SIGIR, стр. 113-122. ACM, (2015)Reinforcement Recommendation with User Multi-aspect Preference., , , и . WWW, стр. 425-435. ACM / IW3C2, (2021)Reinforcement Learning to Optimize Long-term User Engagement in Recommender Systems., , , , , и . KDD, стр. 2810-2818. ACM, (2019)MA4DIV: Multi-Agent Reinforcement Learning for Search Result Diversification., , , , , , , , , и . CoRR, (2024)A Spatiotemporal Contextual Model for Forest Fire Detection Using Himawari-8 Satellite Data., , , , и . Remote Sensing, 10 (12): 1992 (2018)A Deep Learning Based Named Entity Recognition Approach for Adverse Drug Events Identification and Extraction in Health Social Media., , и . ICSH, том 10347 из Lecture Notes in Computer Science, стр. 237-248. Springer, (2017)Design and Implementation of Intelligent Ear Tag for Dairy Cows in Farms., , и . ICSCA, стр. 297-301. ACM, (2020)Transfer Learning in Knowledge-Intensive Tasks: A Test in Healthcare Text Analytics., , , и . AMCIS, Association for Information Systems, (2019)Deep reinforcement learning for page-wise recommendations., , , , , и . RecSys, стр. 95-103. ACM, (2018)