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Combining implicit and explicit topic representations for result diversification.

, , и . SIGIR, стр. 851-860. ACM, (2012)

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Hongxia He

Chunmao He

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Xiaowen He

Hucang He

 

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Result diversification based on query-specific cluster ranking, , и . JASIST, 62 (3): 550-571 (2011)Easing Legal News Monitoring with Learning to Rank and BERT., , , , , и . ECIR (2), том 12036 из Lecture Notes in Computer Science, стр. 336-343. Springer, (2020)Supporting ground-truth annotation of image datasets using clustering., , , и . ICPR, стр. 1542-1545. IEEE Computer Society, (2012)Searching as learning (SAL) workshop 2014., , , , , и . IIiX, стр. 7. ACM, (2014)Combining implicit and explicit topic representations for result diversification., , и . SIGIR, стр. 851-860. ACM, (2012)User Behaviour and Task Characteristics: A Field Study of Daily Information Behaviour., и . CHIIR, стр. 67-76. ACM, (2017)Studying user browsing behavior through gamified search tasks., , , и . GamifIR@ECIR, стр. 49-52. ACM, (2014)Topical Diversity and Relevance Feedback., , , и . TREC, том 500-278 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2009)Metadata and Multilinguality in Video Classification., , , и . CLEF, том 5706 из Lecture Notes in Computer Science, стр. 935-938. Springer, (2008)The University of Amsterdam at VideoCLEF 2008., , , и . CLEF (Working Notes), том 1174 из CEUR Workshop Proceedings, CEUR-WS.org, (2008)