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Volumn 3689 LNCS, Issue , 2005, Pages 274-287

An empirical study of query expansion and cluster-based retrieval in language modeling approach

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; COMPUTER SIMULATION; EXPANSION; INFORMATION RETRIEVAL; PERFORMANCE; PROBLEM SOLVING;

EID: 33646132023     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11562382_21     Document Type: Conference Paper
Times cited : (4)

References (21)
  • 6
    • 0034818212 scopus 로고    scopus 로고
    • Unsupervised learning by probabilistic latent semantic analysis
    • T. Hoffman. Unsupervised Learning by Probabilistic Latent Semantic Analysis. Machine Learning, 42(1-2), pages 177-196, 2001
    • (2001) Machine Learning , vol.42 , Issue.1-2 , pp. 177-196
    • Hoffman, T.1
  • 13
    • 0033354254 scopus 로고    scopus 로고
    • N-Gram-based indexing for Korean text retrieval
    • J. Lee, H. Cho, H. Park. n-Gram-based Indexing for Korean Text Retrieval. Information Processing & Management, vol 35(4), pages 427-441, 1999
    • (1999) Information Processing & Management , vol.35 , Issue.4 , pp. 427-441
    • Lee, J.1    Cho, H.2    Park, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.