Ad quality on TV: Predicting television audience retention

Proceedings of the 3rd International Workshop on Data Mining and Audience Intelligence for Advertising, ADKDD 2009 in Conjunction with SIGKDD'09

Volumn , Issue , 2009, Pages 85-91

  Interian, Yannet ^a   Dorai Raj, Sundar ^a   Naverniouk, Igor ^a   Opalinski, P J ^a   Kaustuv, ^a   Zigmond, Dan ^a  

^a GOOGLE INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CREATIVES; NATURAL EXTENSION; ONLINE ADVERTISING; TELEVISION SET;

COMMERCE;

EID: 70449623564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1592748.1592760     Document Type: Conference Paper

References (7)

1. How is my keyword's quality score used? http://adwords.google.com/ support/bin/answer. py?hl=en\&answer=49174, 2009.
2. Inside adwords: Quality score improvements. http://adwords.blogspot.com/ 2008/08/ quality-score-improvements.html, 2009.
3. Eugene Agichtein, Eric Brill, and Susan Dumais. Improving web search ranking by incorporating user behavior information. In SIGIR '06: Proceedings of the 29th annual international ACM SIGIR conference on Research and development in information retrieval, pages 19-26, New York, NY, USA, 2006. ACM
4. Nielsen Inc. Nielsen says bud light lime and godaddy.com are most-viewed ads during super bowl xliii. http://www.nielsenmedia.com/nc/portal/site/ Public/menuitem. 55dc65b4a7d5adff3f65936147a062a0/?vgnextoid= ac08bca0e985f110VgnVCM100000ac0a260aRCR, 2009.
5. McCullagh P. and J. A. Nelder. Generalized Linear Models. Chapman and Hall, London, 1989.
6. Matthew Richardson, Ewa Dominowska, and Robert Ragno. Predicting clicks: estimating the click-through rate for new ads. In WWW '07: Proceedings of the 16th international conference on World Wide Web, pages 521-530, New York, NY, USA, 2007. ACM.
7. D. Sculley, Robert Malkin, Sugato Basu, and Roberto J. Bayardo. Predicting bounce rates in sponsored search advertisements. In KDD, to appear, 2009