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Understanding the relationship between searchers' queries and information goals.

, , , and . CIKM, page 449-458. ACM, (2008)

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Automatic Identification and Contextual Reformulation of Implicit System-Related Queries., and . SIGIR, page 761-764. ACM, (2016)Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure., , , , , , and . SIGIR, page 465-480. ACM, (1988)Understanding and Modeling Success in Email Search., , , , and . SIGIR, page 265-274. ACM, (2017)Mark my words!: linguistic style accommodation in social media., , and . WWW, page 745-754. ACM, (2011)Partially labeled topic models for interpretable text mining., , and . KDD, page 457-465. ACM, (2011)Latent Semantic Indexing (LSI) and TREC-2.. TREC, volume 500-215 of NIST Special Publication, page 105-116. National Institute of Standards and Technology (NIST), (1993)Latent Semantic Indexing (LSI): TREC-3 Report.. TREC, volume 500-225 of NIST Special Publication, page 219-230. National Institute of Standards and Technology (NIST), (1994)Visualizing Implicit Queries for Information Management and Retrieval., , , , , and . CHI, page 560-567. ACM, (1999)Personalized Search: Potential and Pitfalls.. NTCIR, National Institute of Informatics (NII), (2014)Characterizing web content, user interests, and search behavior by reading level and topic, , , and . Proceedings of the fifth ACM international conference on Web search and data mining, page 213--222. New York, NY, USA, ACM, (2012)