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Volumn 25, Issue 3, 2007, Pages

On setting the hyper-parameters of term frequency normalization for information retrieval

Author keywords

Collection dependence; Information retrieval models; Query dependence; Relevance feedback; Term frequency normalization; TREC experimentation

Indexed keywords

CORRELATION METHODS; FEEDBACK CONTROL; MATHEMATICAL MODELS; PARAMETER ESTIMATION; PROBLEM SOLVING; QUERY LANGUAGES;

EID: 34547452270     PISSN: 10468188     EISSN: 15582868     Source Type: Journal    
DOI: 10.1145/1247715.1247719     Document Type: Article
Times cited : (12)

References (16)
  • 3
    • 33750388702 scopus 로고    scopus 로고
    • Probabilistic models of information retrieval based on measuring the divergence from randomness
    • AMATI, G. AND VAN RIJSBERGEN, C. J. 2002. Probabilistic models of information retrieval based on measuring the divergence from randomness. In ACM Trans. Inf. Syst. (TOIS) 20, 4.
    • (2002) ACM Trans. Inf. Syst. (TOIS) 20 , pp. 4
    • AMATI, G.1    VAN RIJSBERGEN, C.J.2
  • 5
  • 15
    • 34547443702 scopus 로고    scopus 로고
    • VAN RIJSBERGEN, C J. 1979. Information Retrieval, 2nd edition. Department of Computer Science, Univ. Glasgow.
    • VAN RIJSBERGEN, C J. 1979. Information Retrieval, 2nd edition. Department of Computer Science, Univ. Glasgow.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.