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Volumn 39, Issue 2, 2003, Pages 215-231

Multiple query evaluation based on an enhanced genetic algorithm

Author keywords

Genetic algorithm; Information retrieval; Relevance feedback

Indexed keywords

GENETIC ALGORITHMS; HEURISTIC METHODS; INFORMATION RETRIEVAL; MATHEMATICAL MODELS;

EID: 0037341750     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0306-4573(02)00048-1     Document Type: Article
Times cited : (32)

References (27)
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    • Chen, H.1
  • 11
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    • Probabilistic and genetic algorithms for document retrieval
    • Gordon M. Probabilistic and genetic algorithms for document retrieval. Communications of the ACM. 1988;1208-1218.
    • (1988) Communications of the ACM , pp. 1208-1218
    • Gordon, M.1
  • 13
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    • Applying genetic algorithms to query optimisation in document retrieval
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    • (2000) Information Processing and Management , vol.36 , pp. 737-759
    • Horng, J.T.1    Yeh, C.C.2
  • 16
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    • A Network approach to probabilistic information retrieval
    • Kwok K.L. A Network approach to probabilistic information retrieval. ACM Transactions on Information Systems. 13(3):1995;324-353.
    • (1995) ACM Transactions on Information Systems , vol.13 , Issue.3 , pp. 324-353
    • Kwok, K.L.1
  • 20
    • 0017630891 scopus 로고
    • The probability ranking principle in IR
    • Robertson S.E. The probability ranking principle in IR. Journal of Documentation. 33(4):1977;294-304.
    • (1977) Journal of Documentation , vol.33 , Issue.4 , pp. 294-304
    • Robertson, S.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.