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Volumn 4182 LNCS, Issue , 2006, Pages 642-648

Evaluating score normalization methods in data fusion

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; CURVE FITTING;

EID: 33751356367     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11880592_57     Document Type: Conference Paper
Times cited : (47)

References (10)
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    • 0035747561 scopus 로고    scopus 로고
    • Relevance score normalization for metasearch
    • Berkeley, USA, November
    • M. Montague and J. A. Aslam. Relevance score normalization for metasearch. In Proceedings of ACM CIKM Conference, pages 427-433, Berkeley, USA, November 2001.
    • (2001) Proceedings of ACM CIKM Conference , pp. 427-433
    • Montague, M.1    Aslam, J.A.2
  • 7
    • 84941192829 scopus 로고    scopus 로고
    • TREC. http://trec.nist.gov/.
  • 9
    • 0038336780 scopus 로고    scopus 로고
    • Methods for ranking information retrieval systems without relevance judgments
    • Melbourne, Florida, USA, March
    • S. Wu and F. Crestani. Methods for ranking information retrieval systems without relevance judgments. In Proceedings of the 2003 ACM Symposium on applied computing (SAC), pages 811-816, Melbourne, Florida, USA, March 2003.
    • (2003) Proceedings of the 2003 ACM Symposium on Applied Computing (SAC) , pp. 811-816
    • Wu, S.1    Crestani, F.2
  • 10
    • 29244440406 scopus 로고    scopus 로고
    • Performance prediction of data fusion for information retrieval
    • July
    • S. Wu and S. McClean. Performance prediction of data fusion for information retrieval. Information Processing & Management, 42(4):899-915, July 2006.
    • (2006) Information Processing & Management , vol.42 , Issue.4 , pp. 899-915
    • Wu, S.1    McClean, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.