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Volumn , Issue , 2003, Pages 104-110

Web based collection selection using singular value decomposition

Author keywords

Australia; Bandwidth; Data communication; Feedback; Frequency estimation; Indexing; Internet; Search engines; Singular value decomposition; Software engineering

Indexed keywords

BANDWIDTH; FEEDBACK; FREQUENCY ESTIMATION; INDEXING (OF INFORMATION); INTERNET; PROBLEM SOLVING; SEARCH ENGINES; SINGULAR VALUE DECOMPOSITION; SOFTWARE ENGINEERING; WEBSITES;

EID: 35348880797     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI.2003.1241180     Document Type: Conference Paper
Times cited : (4)

References (18)
  • 10
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    • C. H. Q. Ding. A similarity-based probability model for latent semantic indexing. In Research and Development in Information Retrieval, pages 58-65, 1999.
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    • Ding, C.H.Q.1
  • 14
    • 84893721621 scopus 로고    scopus 로고
    • Hubs, authorities, and communities
    • J. M. Kleinberg. Hubs, authorities, and communities. ACM Computing Surveys (CSUR), 31(4es):5, 1999.
    • (1999) ACM Computing Surveys (CSUR) , vol.31 , Issue.4 , pp. 5
    • Kleinberg, J.M.1
  • 16
    • 3042715022 scopus 로고    scopus 로고
    • The Effect of Collection Organization and Query Locality on Information Retrieval System Performance and Design
    • chapter Kluwer, New York, New York
    • Z. Lu and K. S. McKinley. Advances in Information Retrieval, chapter The Effect of Collection Organization and Query Locality on Information Retrieval System Performance and Design. Kluwer, New York, New York, 2000.
    • (2000) Advances in Information Retrieval
    • Lu, Z.1    McKinley, K.S.2
  • 17
    • 0033904351 scopus 로고    scopus 로고
    • Adaptive retrieval agents: Internalizing local context and scaling up to the web
    • F. Menczer and R. K. Belew. Adaptive retrieval agents: Internalizing local context and scaling up to the web. Machine Learning, 39(2/3):203-242, 2000.
    • (2000) Machine Learning , vol.39 , Issue.2-3 , pp. 203-242
    • Menczer, F.1    Belew, R.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.