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Constructing Click Model for Mobile Search with Viewport Time.

, , , , , and . ACM Trans. Inf. Syst., 37 (4): 43:1-43:34 (2019)

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Every Term Has Sentiment: Learning from Emoticon Evidences for Chinese Microblog Sentiment Analysis., , , , and . NLPCC, volume 400 of Communications in Computer and Information Science, page 224-235. Springer, (2013)A PDD-Based Searching Approach for Expert Finding in Intranet Information Management., , , , and . AIRS, volume 4182 of Lecture Notes in Computer Science, page 43-53. Springer, (2006)Characterizing Expertise of Search Engine Users., , , , and . AIRS, volume 8281 of Lecture Notes in Computer Science, page 380-391. Springer, (2013)Investigating Examination Behavior in Mobile Search., , , , , and . WSDM, page 771-779. ACM, (2020)A Neural Network Model for Social-Aware Recommendation., , , and . AIRS, volume 10648 of Lecture Notes in Computer Science, page 125-137. Springer, (2017)Automatic search engine performance evaluation with click-through data analysis., , , , and . WWW, page 1133-1134. ACM, (2007)Detecting Collusive Spamming Activities in Community Question Answering., , , , and . WWW, page 1073-1082. ACM, (2017)User Intent, Behaviour, and Perceived Satisfaction in Product Search., , , , and . WSDM, page 547-555. ACM, (2018)Localized matrix factorization for recommendation based on matrix block diagonal forms., , , , and . WWW, page 1511-1520. International World Wide Web Conferences Steering Committee / ACM, (2013)Quality Effects on User Preferences and Behaviorsin Mobile News Streaming., , , , , and . WWW, page 1187-1197. ACM, (2019)