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Volumn , Issue , 2009, Pages 21-30

Spatio-temporal models for estimating click-through rate

Author keywords

Algorithms; Design; Experimentation; Measurement

Indexed keywords

BASELINE METHODS; CLICK-THROUGH RATE; CONTENT RECOMMENDATIONS; EXPERIMENTATION; EXPLORATORY DATA ANALYSIS; FRONT PAGES; LARGE SCALE SIMULATIONS; SPATIO-TEMPORAL MODELS;

EID: 77950884255     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1526709.1526713     Document Type: Conference Paper
Times cited : (120)

References (16)
  • 1
    • 85093235125 scopus 로고    scopus 로고
    • Online models for content optimization
    • D. Agarwal, B.-C. Chen, P. Elango, and et al. Online models for content optimization. In NIPS, 2008.
    • (2008) NIPS
    • Agarwal, D.1    Chen, B.-C.2    Elango, P.3
  • 3
    • 0001677717 scopus 로고
    • Controlling the false discovery rate: A practical and powerful approach to multiple testing
    • Y. Benjamini and Y. Hochberg. Controlling the false discovery rate: a practical and powerful approach to multiple testing. Journal of the Royal Statistical Society B, 1995.
    • (1995) Journal of the Royal Statistical Society B
    • Benjamini, Y.1    Hochberg, Y.2
  • 9
    • 21844444549 scopus 로고    scopus 로고
    • Spline-based non-parametric regression for periodic functions and its application to directional tuning of neurons
    • C. Kaufman, V. Ventura, and R. Kass. Spline-based non-parametric regression for periodic functions and its application to directional tuning of neurons. Statistics in Medicine, 2005.
    • (2005) Statistics in Medicine
    • Kaufman, C.1    Ventura, V.2    Kass, R.3
  • 10
    • 42549149790 scopus 로고    scopus 로고
    • Entropy of search logs: How hard is search? with personalization? with backoff?
    • Q. Mei and K. W. Church. Entropy of search logs: how hard is search? with personalization? with backoff? In WSDM, 2008.
    • (2008) WSDM
    • Mei, Q.1    Church, K.W.2
  • 12
    • 36849045755 scopus 로고    scopus 로고
    • Active exploration for learning rankings from clickthrough data
    • F. Radlinski and T. Joachims. Active exploration for learning rankings from clickthrough data. In KDD, 2007.
    • (2007) KDD
    • Radlinski, F.1    Joachims, T.2
  • 13
    • 35348840947 scopus 로고    scopus 로고
    • Predicting clicks: Estimating the click-through rate for new ads
    • M. Richardson, E. Dominowska, and R. Ragno. Predicting clicks: estimating the click-through rate for new ads. In WWW, 2007.
    • (2007) WWW
    • Richardson, M.1    Dominowska, E.2    Ragno, R.3
  • 16
    • 84865638699 scopus 로고    scopus 로고
    • Popularity, novelty and attention
    • ACM
    • F. Wu and B. A. Huberman. Popularity, novelty and attention. In EC. ACM, 2008.
    • (2008) EC
    • Wu, F.1    Huberman, B.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.