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Learning to Rank Query Recommendations by Semantic Similarities

, , and . (2012)cite arxiv:1204.2712Comment: 2nd International Workshop on Usage Analysis and the Web of Data (USEWOD2012) in the 21st International World Wide Web Conference (WWW2012), Lyon, France, April 17th, 2012.

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Using Related Queries to Improve Web Search Results Ranking., , and . SPIRE, volume 6393 of Lecture Notes in Computer Science, page 213-224. Springer, (2010)From VQA to Multimodal CQA: Adapting Visual QA Models for Community QA Tasks., , and . CoRR, (2018)Text Similarity Function Based on Word Embeddings for Short Text Analysis., and . CICLing (1), volume 10761 of Lecture Notes in Computer Science, page 391-402. Springer, (2017)Extracting Search Query Patterns via the Pairwise Coupled Topic Model., , , , and . WSDM, page 655-664. ACM, (2016)NTCIR-2 as a Rosetta stone in laboratory experiments of IR systems.. Inf. Process. Manag., 41 (3): 489-506 (2005)Syndromic surveillance using search query logs and user location information from smartphones against COVID-19 clusters in Japan., , , , , , and . CoRR, (2020)Learned k-NN distance estimation., , , and . SIGSPATIAL/GIS, page 1:1-1:4. ACM, (2022)Can a Machine Reading Comprehension Model Improve Ad-hoc Document Retrieval?, , and . ICADL, volume 13636 of Lecture Notes in Computer Science, page 172-181. Springer, (2022)BanditRank: Learning to Rank Using Contextual Bandits., and . PAKDD (3), volume 12714 of Lecture Notes in Computer Science, page 259-271. Springer, (2021)Do Extractive Summarization Algorithms Amplify Lexical Bias in News Articles?, , and . ICTIR, page 133-137. ACM, (2022)