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Volumn 5, Issue 2, 2006, Pages 97-105

Optimising the heuristics in latent semantic indexing for effective information retrieval

Author keywords

Information retrieval; Latent Semantic Indexing; rank approximation; term weighting; vector space method

Indexed keywords


EID: 77953823035     PISSN: 02196492     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219649206001359     Document Type: Article
Times cited : (6)

References (24)
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  • 6
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  • 9
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  • 10
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    • Chisholm, E and TG Kolda (1999). New term weighting formulas for the Vector Space Method in Information Retrieval. Technical Report, ORNL/TM-13756, Oak Ridge National Laboratory.
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    • Chisholm, E.1    Kolda, T.G.2
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    • Term norm distribution and its effects on Latent Semantic Indexing
    • DOI 10.1016/j.ipm.2004.03.006, PII S0306457304000378
    • Husbands, P and C Ding (2005). Term norm distribution and its effects on latent semantic indexing. Information Processing and Management, 41(4), 777-787. (Pubitemid 40049176)
    • (2005) Information Processing and Management , vol.41 , Issue.4 , pp. 777-787
    • Husbands, P.1    Simon, H.2    Ding, C.3
  • 16
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    • (2006) Information Processing and Management , vol.42 , Issue.1 SPEC. ISS , pp. 56-73
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  • 20
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.