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Volumn 7097 LNCS, Issue , 2011, Pages 315-326

Predicting query performance directly from score distributions

Author keywords

[No Author keywords available]

Indexed keywords

MIXTURE DISTRIBUTIONS; MIXTURE MODEL; PRACTICAL IMPORTANCE; QUERY PERFORMANCE; QUERY PERFORMANCE PREDICTION; STANDARD PERFORMANCE; TWO PARAMETER;

EID: 84255194255     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-25631-8_29     Document Type: Conference Paper
Times cited : (12)

References (15)
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  • 6
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    • Learning in a pairwise term-term proximity framework for information retrieval
    • Cummins, R., O'Riordan, C.: Learning in a pairwise term-term proximity framework for information retrieval. In: SIGIR, pp. 251-258 (2009)
    • (2009) SIGIR , pp. 251-258
    • Cummins, R.1    O'Riordan, C.2
  • 7
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    • Performance prediction using spatial autocorrelation
    • Diaz, F.: Performance prediction using spatial autocorrelation. In: SIGIR, pp. 583-590 (2007)
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  • 9
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    • (2010) SIGIR , pp. 242-249
    • Kanoulas, E.1    Dai, K.2    Pavlu, V.3    Aslam, J.A.4
  • 10
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    • Pérez-Iglesias, J., Araujo, L.: Standard Deviation as a Query Hardness Estimator. In: Chavez, E., Lonardi, S. (eds.) SPIRE 2010. LNCS, vol. 6393, pp. 207-212. Springer, Heidelberg (2010)
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  • 12
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.