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Volumn 2, Issue , 2007, Pages 1310-1315

Modeling contextual factors of click rates

Author keywords

[No Author keywords available]

Indexed keywords

CLICK RATES; CLICK-THROUGH RATES; CONTEXTUAL FACTORS;

EID: 36348954368     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (17)

References (15)
  • 1
    • 33750367864 scopus 로고    scopus 로고
    • Learning user interaction models for predicting web search result preferences
    • Agichtein, E.; Brill, E.; Dumais, S. T.; and Ragno, R. 2006. Learning user interaction models for predicting web search result preferences. In SIGIR, 3-10.
    • (2006) SIGIR , pp. 3-10
    • Agichtein, E.1    Brill, E.2    Dumais, S.T.3    Ragno, R.4
  • 2
    • 33750341480 scopus 로고    scopus 로고
    • Improving web search ranking by incorporating user behavior information
    • Agichtein, E.; Brill, E.; and Dumais, S. T 2006. Improving web search ranking by incorporating user behavior information. In SIGIR, 19-26.
    • (2006) SIGIR , pp. 19-26
    • Agichtein, E.1    Brill, E.2    Dumais, S.T.3
  • 3
    • 36349004767 scopus 로고    scopus 로고
    • tutorial on the em algorithm and its application to parameter estimation for gaussian mixture and hidden markov models
    • Bilmes, J. 1997. A gentle tutorial on the em algorithm and its application to parameter estimation for gaussian mixture and hidden markov models.
    • (1997) A gentle
    • Bilmes, J.1
  • 7
    • 84885665252 scopus 로고    scopus 로고
    • Accurately interpreting clickthrough data as implicit feedback
    • Joachims, T.; Granka, L. A.; Pan, B.; Hembrooke, H.; and Gay, G. 2005. Accurately interpreting clickthrough data as implicit feedback. In SIGIR, 154-161.
    • (2005) In SIGIR , pp. 154-161
    • Joachims, T.1    Granka, L.A.2    Pan, B.3    Hembrooke, H.4    Gay, G.5
  • 8
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using click-through data
    • Joachims, T 2002. Optimizing search engines using click-through data. In KDD, 133-142.
    • (2002) KDD , pp. 133-142
    • Joachims, T.1
  • 9
    • 8644249427 scopus 로고    scopus 로고
    • Implicit feedback for inferring user preference: A bibliography
    • Kelly, D., and Teevan, J. 2003. Implicit feedback for inferring user preference: a bibliography. SIGIR Forum 37(2):18-28.
    • (2003) SIGIR Forum , vol.37 , Issue.2 , pp. 18-28
    • Kelly, D.1    Teevan, J.2
  • 12
    • 32344431861 scopus 로고    scopus 로고
    • Query chains: Learning to rank from implicit feedback
    • Radlinski, F., and Joachims, T 2005. Query chains: Learning to rank from implicit feedback. In KDD, 239-248.
    • (2005) KDD , pp. 239-248
    • Radlinski, F.1    Joachims, T.2
  • 13
    • 42549103503 scopus 로고    scopus 로고
    • Minimally invasive randomization fro collecting unbiased preferences from clickthrough logs
    • Radlinski, F., and Joachims, T 2006. Minimally invasive randomization fro collecting unbiased preferences from clickthrough logs. In AAAI.
    • (2006) AAAI
    • Radlinski, F.1    Joachims, T.2
  • 14
    • 84885672450 scopus 로고    scopus 로고
    • A study of factors affecting the utility of implicit relevance feedback
    • White, R. W.; Ruthven, I.; and Jose, J. M. 2005. A study of factors affecting the utility of implicit relevance feedback. In SIGIR, 35-42.
    • (2005) SIGIR , pp. 35-42
    • White, R.W.1    Ruthven, I.2    Jose, J.M.3
  • 15
    • 18744379170 scopus 로고    scopus 로고
    • Optimizing web search using web click-through data
    • Xue, G.; Zeng, H.; Chen, Z.; Yu, Y.; Ma, W.; Xi, W.; and Fan, W. 2004. Optimizing web search using web click-through data. In CIKM, 118-126.
    • (2004) CIKM , pp. 118-126
    • Xue, G.1    Zeng, H.2    Chen, Z.3    Yu, Y.4    Ma, W.5    Xi, W.6    Fan, W.7


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.