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Recommending high-utility search engine queries via a query-recommending model.

, , , and . Neurocomputing, (2015)

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More than relevance: high utility query recommendation by mining users' search behaviors., , , and . CIKM, page 1814-1818. ACM, (2012)A Deep Look into neural ranking models for information retrieval., , , , , , , , and . Inf. Process. Manag., 57 (6): 102067 (2020)Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering., , , , and . Neural Process. Lett., 53 (1): 1-16 (2021)A Review on Question Generation from Natural Language Text., , , , and . ACM Trans. Inf. Syst., 40 (1): 14:1-14:43 (2022)Semantic Models for the First-Stage Retrieval: A Comprehensive Review., , , , , and . ACM Trans. Inf. Syst., 40 (4): 66:1-66:42 (2022)Dual-factor Generation Model for Conversation., , , , and . ACM Trans. Inf. Syst., 38 (3): 31:1-31:31 (2020)Prompt Tuning with Contradictory Intentions for Sarcasm Recognition., , , , and . EACL, page 328-339. Association for Computational Linguistics, (2023)An Adaptive Framework for Conversational Question Answering., , , , , and . AAAI, page 10041-10042. AAAI Press, (2019)PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval., , , , , and . WSDM, page 283-291. ACM, (2021)CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks., , , , , and . CIKM, page 191-200. ACM, (2022)