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Volumn , Issue , 2014, Pages 1477-1488

Predicting interesting things in text

Author keywords

[No Author keywords available]

Indexed keywords

BEHAVIORAL RESEARCH; COMPUTATIONAL LINGUISTICS; LINGUISTICS; SEMANTICS; WEB BROWSERS;

EID: 84959891993     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (13)

References (28)
  • 1
    • 33750341480 scopus 로고    scopus 로고
    • Improving web search ranking by incorporating user behavior information
    • Agichtein, E., Brill, E., and Dumais, S. 2006. Improving web search ranking by incorporating user behavior information. In Proceedings of SIGIR. pp. 19-26.
    • (2006) Proceedings of SIGIR , pp. 19-26
    • Agichtein, E.1    Brill, E.2    Dumais, S.3
  • 6
    • 0742306220 scopus 로고    scopus 로고
    • Modeling the click stream: Implications for web-based advertising efforts
    • Chatterjee, P., Hoffman, D. L., and Novak, T. P. 2003. Modeling the clickstream: Implications for web-based advertising efforts. Marketing Science, 22(4), 520-541.
    • (2003) Marketing Science , vol.22 , Issue.4 , pp. 520-541
    • Chatterjee, P.1    Hoffman, D.L.2    Novak, T.P.3
  • 11
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • 1999
    • Friedman, J. H. 1999. Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29:1189-1232, 1999.
    • (1999) Annals of Statistics , vol.29 , pp. 1189-1232
    • Friedman, J.H.1
  • 13
    • 80052118865 scopus 로고    scopus 로고
    • Click through-based latent semantic models for web search
    • Gao, J., Toutanova, K., and Yih, W. T. 2011. Clickthrough-based latent semantic models for web search. In Proceedings of SIGIR. pp. 675-684.
    • (2011) Proceedings of SIGIR , pp. 675-684
    • Gao, J.1    Toutanova, K.2    Yih, W.T.3
  • 14
    • 77956543367 scopus 로고    scopus 로고
    • Web-scale Bayesian click-through rate prediction for sponsored search advertising in microsoft's bing search engine
    • Graepel, T., Candela, J.Q., Borchert, T., and Herbrich, R. 2010. Web-scale Bayesian Click-Through Rate Prediction for Sponsored Search Advertising in Microsoft's Bing Search Engine. In Proceedings of ICML. pp. 13-20.
    • (2010) Proceedings of ICML , pp. 13-20
    • Graepel, T.1    Candela, J.Q.2    Borchert, T.3    Herbrich, R.4
  • 18
    • 0242456822 scopus 로고    scopus 로고
    • Optimizing search engines using clickthrough data
    • Joachims, T. 2002. Optimizing search engines using clickthrough data. In Proceedings of KDD. pp. 133-142.
    • (2002) Proceedings of KDD , pp. 133-142
    • Joachims, T.1
  • 20
    • 77954619079 scopus 로고    scopus 로고
    • Using a model of social dynamics to predict popularity of news
    • Lerman, K., and Hogg, T. 2010. Using a model of social dynamics to predict popularity of news. In Proceedings of WWW. pp. 621-630.
    • (2010) Proceedings of WWW , pp. 621-630
    • Lerman, K.1    Hogg, T.2
  • 24
    • 74549208572 scopus 로고    scopus 로고
    • Learning document aboutness from implicit user feedback and document structure
    • Paranjpe, D. 2009. Learning document aboutness from implicit user feedback and document structure. In Proceedings of CIKM. pp. 365-374.
    • (2009) Proceedings of CIKM , pp. 365-374
    • Paranjpe, D.1
  • 25
    • 84863270914 scopus 로고    scopus 로고
    • Personalized click model through collaborative filtering
    • Shen, S., Hu, B., Chen, W., and Yang, Q. 2012. Personalized click model through collaborative filtering. In Proceedings of WSDM. pp. 323-333.
    • (2012) Proceedings of WSDM , pp. 323-333
    • Shen, S.1    Hu, B.2    Chen, W.3    Yang, Q.4
  • 26
    • 77955233534 scopus 로고    scopus 로고
    • Predicting the popularity of online content
    • Szabo, G., and Huberman, B. A. 2010. Predicting the popularity of online content. Com-munications of the ACM, 53(8), 80-88.
    • (2010) Com-munications of the ACM , vol.53 , Issue.8 , pp. 80-88
    • Szabo, G.1    Huberman, B.A.2
  • 28
    • 84858390198 scopus 로고    scopus 로고
    • Predicting response to political blog posts with topic models
    • Yano, T., Cohen, W. W., & Smith, N. A. 2009. Predicting response to political blog posts with topic models. In Proceedings of NAACL. pp. 477-485.
    • (2009) Proceedings of NAACL , pp. 477-485
    • Yano, T.1    Cohen, W.W.2    Smith, N.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.