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Personalized Diversification for Neural Re-ranking in Recommendation., , , , , , , and . ICDE, page 802-815. IEEE, (2023)MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction., , , , , , and . KDD, page 1384-1395. ACM, (2023)How Can Recommender Systems Benefit from Large Language Models: A Survey., , , , , , , , , and 1 other author(s). CoRR, (2023)A co-word analysis of museum tourism experience via hierarchy of needs: Case study of the China Block Printing Museum at Yangzhou., , and . J. Comput. Methods Sci. Eng., 22 (6): 1835-1849 (2022)Towards Return Parity in Markov Decision Processes., , , , , and . CoRR, (2021)Context-aware Reranking with Utility Maximization for Recommendation., , , , , , , and . CoRR, (2021)Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising., , , , , , , , and . CIKM, page 4766-4772. ACM, (2023)A Bird's-eye View of Reranking: From List Level to Page Level., , , , , , , and . WSDM, page 1075-1083. ACM, (2023)U-rank: Utility-oriented Learning to Rank with Implicit Feedback., , , , , , , , and . CIKM, page 2373-2380. ACM, (2020)Urban Built Environment Assessment Based on Scene Understanding of High-Resolution Remote Sensing Imagery., , , , , , and . Remote. Sens., 15 (5): 1436 (March 2023)