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Automatic classification of Web queries using very large unlabeled query logs

, , , , and . ACM Trans. on Info. Syst. (TOIS), (April 2007)

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Predicting query difficulty on the web by learning visual clues., , , , and . SIGIR, page 615-616. ACM, (2005)A framework for determining necessary query set sizes to evaluate web search effectiveness., , , and . WWW (Special interest tracks and posters), page 1176-1177. ACM, (2005)Recent Results on Fusion of Effective Retrieval Strategies in the Same Information Retrieval System., , , , , and . Distributed Multimedia Information Retrieval, volume 2924 of Lecture Notes in Computer Science, page 101-111. Springer, (2003)IIT at TREC 2002 Linear Combinations Based on Document Structure and Varied Stemming for Arabic Retrieval., , , , , and . TREC, volume 500-251 of NIST Special Publication, National Institute of Standards and Technology (NIST), (2002)Analysis of Combining Multiple Query Representations with Varying Lengths in a Single Engine., , and . ITCC, page 236-241. IEEE Computer Society, (2002)Average Precision Histogram., , and . Encyclopedia of Database Systems (2nd ed.), Springer, (2018)Query Phrase Suggestion from Topically Tagged Session Logs., , , and . FQAS, volume 4027 of Lecture Notes in Computer Science, page 185-196. Springer, (2006)Automatic classification of Web queries using very large unlabeled query logs, , , , and . ACM Trans. on Info. Syst. (TOIS), (April 2007)Analysis of varying approaches to topical web query classification., , , and . Infoscale, page 15. ICST / ACM, (2008)Varying approaches to topical web query classification., , , and . SIGIR, page 783-784. ACM, (2007)