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How Can Recommender Systems Benefit from Large Language Models: A Survey., , , , , , , , , и 1 other автор(ы). CoRR, (2023)Context-aware Reranking with Utility Maximization for Recommendation., , , , , , , и . CoRR, (2021)Towards Return Parity in Markov Decision Processes., , , , , и . CoRR, (2021)A co-word analysis of museum tourism experience via hierarchy of needs: Case study of the China Block Printing Museum at Yangzhou., , и . J. Comput. Methods Sci. Eng., 22 (6): 1835-1849 (2022)MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction., , , , , , и . KDD, стр. 1384-1395. ACM, (2023)Personalized Diversification for Neural Re-ranking in Recommendation., , , , , , , и . ICDE, стр. 802-815. IEEE, (2023)Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery., , , , , , и . Remote. Sens., 15 (5): 1436 (марта 2023)Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank., , , , , , , , и . ACM Trans. Inf. Syst., 40 (2): 25:1-25:29 (2022)A Graph-Enhanced Click Model for Web Search., , , , , , , , и . CoRR, (2022)A Bird's-eye View of Reranking: from List Level to Page Level., , , , , , , и . CoRR, (2022)