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Volumn , Issue , 2007, Pages 2740-2747

Models of searching and browsing: Languages, studies, and applications

Author keywords

[No Author keywords available]

Indexed keywords

BROWSING BEHAVIOR; INFORMATION SEEKING; LARGE DATASET; PREDICTIVE MODELS; SEARCH BEHAVIOR; SEARCH SESSIONS; USER ACTIVITY; WEB SEARCHES;

EID: 78651425042     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (82)

References (22)
  • 1
    • 33750367864 scopus 로고    scopus 로고
    • Learning user interaction models for predicting web search result preferences
    • E. Agichtein, E. Brill, S. Dumais, and R. Ragno. Learning user interaction models for predicting web search result preferences. In Proc. of SIGIR, 2006.
    • Proc. of SIGIR, 2006
    • Agichtein, E.1    Brill, E.2    Dumais, S.3    Ragno, R.4
  • 2
    • 0024751387 scopus 로고
    • The design of browsing and berrypicking techniques for the online search interface
    • M. J. Bates. The design of browsing and berrypicking techniques for the online search interface. Online Review, 13(5), 1989.
    • (1989) Online Review , vol.13 , Issue.5
    • Bates, M.J.1
  • 3
    • 0034593050 scopus 로고    scopus 로고
    • Agglomerative clustering of a search engine query log
    • D. Beeferman and A. Berger. Agglomerative clustering of a search engine query log. In Proc. of KDD, 2000.
    • Proc. of KDD, 2000
    • Beeferman, D.1    Berger, A.2
  • 5
    • 0142030258 scopus 로고    scopus 로고
    • A taxonomy of web search
    • A. Broder. A taxonomy of web search. SIGIR Forum, 36(2), 2002.
    • (2002) SIGIR Forum , vol.36 , Issue.2
    • Broder, A.1
  • 7
    • 0041919126 scopus 로고    scopus 로고
    • Technical Report MSR-TR-2002-103, Microsoft, Redmond, WA
    • D. M. Chickering. The winmine toolkit. Technical Report MSR-TR-2002-103, Microsoft, Redmond, WA, 2002.
    • (2002) The Winmine Toolkit
    • Chickering, D.M.1
  • 10
    • 84880868261 scopus 로고    scopus 로고
    • Web search intent induction via automatic query reformulation
    • H. Duame and E. Brill. Web search intent induction via automatic query reformulation. In Proc. of HLT, 2004.
    • Proc. of HLT, 2004
    • Duame, H.1    Brill, E.2
  • 12
    • 84880880438 scopus 로고    scopus 로고
    • Continual computation policies for utility-directed prefetching
    • E. Horvitz. Continual computation policies for utility-directed prefetching. In Proc. of CIKM, 1998.
    • Proc. of CIKM, 1998
    • Horvitz, E.1
  • 15
    • 0003166274 scopus 로고    scopus 로고
    • Patterns of search: Analyzing and modeling web query refinement
    • T. Lau and E. Horvitz. Patterns of search: Analyzing and modeling web query refinement. In Proc. of UM, 1999.
    • Proc. of UM, 1999
    • Lau, T.1    Horvitz, E.2
  • 16
    • 33750289501 scopus 로고    scopus 로고
    • Automatic identification of user goals in web search
    • U. Lee, Z. Liu, and J. Cho. Automatic identification of user goals in web search. In Proc. of WWW, 2005.
    • Proc. of WWW, 2005
    • Lee, U.1    Liu, Z.2    Cho, J.3
  • 17
  • 19
    • 33745780139 scopus 로고    scopus 로고
    • Implicit user modeling for personalized search
    • X. Shen, B. Tan, and C. Zhai. Implicit user modeling for personalized search. In CIKM 2005, 2005.
    • (2005) CIKM 2005
    • Shen, X.1    Tan, B.2    Zhai, C.3
  • 22
    • 84885664744 scopus 로고    scopus 로고
    • Personalizing search via automated analysis of interests and activities
    • J. Teevan, S. T. Dumais, and E. Horvitz. Personalizing search via automated analysis of interests and activities. In Proc. of SIGIR, 2005.
    • Proc. of SIGIR, 2005
    • Teevan, J.1    Dumais, S.T.2    Horvitz, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.