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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)Personalized Search: Potential and Pitfalls.. CIKM, page 689. ACM, (2016)Short-Term Satisfaction and Long-Term Coverage: Understanding How Users Tolerate Algorithmic Exploration., , , and . WSDM, page 513-521. ACM, (2018)A solution to Plato's problem: The Latent Semantic Analysis theory of the acquisition, induction, and representation of knowledge, and . Psychological Review, (1997)Automatic Identification and Contextual Reformulation of Implicit System-Related Queries., and . SIGIR, page 761-764. ACM, (2016)Partially labeled topic models for interpretable text mining., , and . KDD, page 457-465. ACM, (2011)Understanding and Modeling Success in Email Search., , , , and . SIGIR, page 265-274. ACM, (2017)Information Retrieval using a Singular Value Decomposition Model of Latent Semantic Structure., , , , , , and . SIGIR, page 465-480. ACM, (1988)Keynote: The Web Changes Everything: Understanding and Supporting People in Dynamic Information Environments.. ECDL, volume 6273 of Lecture Notes in Computer Science, page 1. Springer, (2010)Classification-enhanced ranking., , and . WWW, page 111-120. ACM, (2010)