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Low-cost, bottom-up measures for evaluating search result diversification., , , , and . Inf. Retr. Journal, 23 (1): 86-113 (2020)ReBoost: a retrieval-boosted sequence-to-sequence model for neural response generation., , , and . Inf. Retr. J., 23 (1): 27-48 (2020)Integrating Representation and Interaction for Context-Aware Document Ranking., , , , and . ACM Trans. Inf. Syst., 41 (1): 21:1-21:23 (January 2023)GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification., , , and . ACM Trans. Inf. Syst., 41 (2): 34:1-34:36 (April 2023)Generating Query Facets Using Knowledge Bases., , and . IEEE Trans. Knowl. Data Eng., 29 (2): 315-329 (2017)Evaluating the Effectiveness of Personalized Web Search., , , and . IEEE Trans. Knowl. Data Eng., 21 (8): 1178-1190 (2009)Improving Search Clarification with Structured Information Extracted from Search Results., , , , and . KDD, page 3549-3558. ACM, (2023)RLPer: A Reinforcement Learning Model for Personalized Search., , , and . WWW, page 2298-2308. ACM / IW3C2, (2020)Socialformer: Social Network Inspired Long Document Modeling for Document Ranking., , , and . WWW, page 339-347. ACM, (2022)A Gain-Tuning Dynamic Negative Sampler for Recommendation., , , and . WWW, page 277-285. ACM, (2022)