Predicting clicks: Estimating the click-through rate for new ads

16th International World Wide Web Conference, WWW2007

Volumn , Issue , 2007, Pages 521-530

  Richardson, Matthew ^a   Dominowska, Ewa ^b   Ragno, Robert ^a  

^a MICROSOFT RESEARCH   (United States)

^b MICROSOFT   (United States)

Author keywords

Click through rate; CPC; CTR; Paid search; Ranking; Sponsored search; Web advertising

Indexed keywords

PAID SEARCH; SPONSORED SEARCH; WEB ADVERTISING;

DATA ACQUISITION; MATHEMATICAL MODELS; PROBABILITY; USER INTERFACES; WEB SERVICES; WEBSITES;

SEARCH ENGINES;

EID: 35348840947     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1242572.1242643     Document Type: Conference Paper

References (20)

1. E. Agichtein, E. Brill, S. Dumais, "Improving Web Search Ranking by Incorporating User Behavior Information", In World Wide Web, 2006.
2. L. Baker, "Google vs. Yahoo : Earnings Reports Comparison," In Search Engine Journal http://www.searchengi.ne-journal.com/?p=3923.
3. K. Bartz, V. Murthi, S. Sebastian, "Logistic Regression and Collaborative Filtering for Sponsored Search Term Recommendation", In Proceedings of the Second Workshop on Sponsored Search Auctions, 2006.
4. E. Burns, "SEMs Sees Optimization PPC", In ClickZ, http://www.cl.ickz.com/showPage.html?page=3550881
5. Did-it, Enquiro, and Eyetools, "Eye Tracking Study", http://www.enquiro.com/eye-tracking-pr.asp
6. B. Edelman, M. Ostrovsky. "Strategic bidder behavior in sponsored search auctions." In Workshop on Sponsored Search Auctions, ACM Electronic Commerce, 2005.
7. D. Fain and J. Pedersen. "Sponsored Search: a Brief History", In Proceedings of the Second Workshop on Sponsored Search Auctions, 2006.
8. J. Feng, H. Bhargava, D. Pennock, "Implementing Sponsored Search in Web Search Engines: Computational Evaluation of Alternative Mechanisms" In Informs Journal on Computing, 2006.
9. J. Friedman. "Greedy Function Approximation: A Gradient Boosting Machine," Technical Report, Dept. of Statistics, Stanford University, 1999.
10. T. Hastie, R. Tibshirani, J. Friedman, The Elements of Statistical Learning, Springer-Verlag, New York, 2001.
11. B. Jansen and M. Resnick, "Examining Searcher Perceptions of and Interactions with Sponsored Results," In Proceedings of the Workshop on Sponsored Search Auctions, 2005.
12. B. Kitts, P. Laxminarayan, B. LeBlanc, R. Meech, "A Formal Analysis of Search Auctions Including Predictions on Click Fraud and Bidding Tactics", In Workshop on Sponsored Search Auctions, ACM Electronic Commerce, 2005.
13. S. Kullback, R. A. Leibler, "On Information and Sufficiency", Annals of Mathematical Statistics, Vol. 22, No.1, pp. 79-86, 1951.
14. S. Lawrence, C.L. Giles, Searching the World Wide Web, Science 280, pp. 98-100, 1998.
15. S. Lawrence, C. L. Giles, Accessibility of information of the Web, Nature 400, pp. 107-109, 1999.
16. D. C. Liu and J. Nocedal, "On the limited memory BFGS method for large scale optimization," Mathematical Programming, vol. 45, no. 3, pp. 503-528, 1989.
17. D. Murrow, "Paid Search Ad Spend Will Hit $10 Billion By 2009" In eMarketer, http://www.emarketer.com/Article.aspx?1003861.
18. J. Nocedal, and S. J. Wright, Numerical Optimization. Springer-Verlag, 1999.
19. M. Regelson and D. Fain, "Predicting click-through rate using keyword clusters," In Proceedings of the Second Workshop on Sponsored Search Auctions, 2006.
20. M. Richardson, A. Prakash, E. Brill, "Beyond Page Rank: Machine Learning for Static Ranking, In World Wide Web, 2006.