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Volumn 2997, Issue , 2004, Pages 27-41

A user-centered approach to evaluating topic models

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTERS;

EID: 29244458879     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24752-4_3     Document Type: Article
Times cited : (14)

References (18)
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  • 7
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    • Browsing-based User Language Models for Information Retrieval
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    • Diaz, F.1    Allan, J.2
  • 8
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    • Gordon, M. User-based document clustering by redescribing subject descriptions with a genetic algorithm. JASIST, 42,311-322,1991.
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    • Heer, J.1    Chi, E.H.2
  • 11
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    • Kelly, D. & Belkin, N. J. Reading time, scrolling and interaction: Exploring implicit sources of user preferences for relevance feedback during interactive information retrieval. Proceedings SIGIR '01,408-409,2001.
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    • Kelly, D.1    Belkin, N.J.2
  • 12
    • 84941155576 scopus 로고
    • Information filtering based on user behavior analysis and best match text retrieval
    • Morita, M., & Shinoda, Y. Information filtering based on user behavior analysis and best match text retrieval. Proceedings of SIGIR '94,272-281,1994.
    • (1994) Proceedings of SIGIR '94 , pp. 272-281
    • Morita, M.1    Shinoda, Y.2
  • 13
    • 0040746230 scopus 로고    scopus 로고
    • Modeling information content using observable behavior
    • Oard, D. W., & Kim, J. Modeling information content using observable behavior. Proceedings of ASIST '01,38-45, 2001.
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    • Oard, D.W.1    Kim, J.2
  • 14
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    • Incorporating user search behavior into relevance feedback
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    • Beyond independent relevance: Methods and evaluation metrics for subtopic retrieval
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.