Bid optimizing and inventory scoring in targeted online advertising

Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining

Volumn , Issue , 2012, Pages 804-812

  Perlich, Claudia ^a   Dalessandro, Brian ^a   Hook, Rod ^a   Stitelman, Ori ^a   Raeder, Troy ^a   Provost, Foster ^b  

^a Media6Degrees ^*  (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

bid optimization; causality; logistic regression; online advertising; probability estimation

Indexed keywords

BID OPTIMIZATIONS; CAUSALITY; LOGISTIC REGRESSIONS; ONLINE ADVERTISING; PROBABILITY ESTIMATION;

COSTS; DATA MINING; INDUSTRY; LEARNING ALGORITHMS; LOADING; LOGISTICS; OPTIMIZATION;

MARKETING;

EID: 84866022995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2339530.2339655     Document Type: Conference Paper

References (19)

1. L. Abraham. Is the click the right currency for display advertising effectiveness. ComScore, 2011. http://paidcontent.org/files/uploads/DLD-2011- Linda-Abraham.pdf.
2. G. Aggarwal, A. Goel, and R. Motwani. Truthful auctions for pricing search keywords. In Proceddings of ACM Electronic Commerce, 2006.
3. C. Chabris and D. Simons. The Invisible Gorilla. Broadway, 2011.
4. B. Dalessandro, F. Provost, C. Perlich, and R. Hook. Surrogate training for online conversion modeling. In EMPGENS2, 2012.
5. B. Dalessandro, O. Stitelman, C. Perlich, and F. Provost. Causally motivated attribution for online advertising. In Proceedings of the Workshop on Data Mining and Audience Intelligence for Online Advertising at KDD, 2012.
6. B. Edelman and M. Ostrovsky. Strategic bidder behavior in sponsored search auctions. In Proceedings of ACM Electronic Commerce, 2005.
7. B. Edelman, M. Ostrovsky, and M. Schwarz. Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. American Economic Review, 97(1):242-259, 2007.
8. A. Genkin, D. D. Lewis, and D. Madigan. Large-scale bayesian logistic regression for text categorization. Technometrics, 49(3):291-304, 2007.
9. M. Hughes. Taking issues with viewable impressions, 2012. http://www.adexchanger.com/data-driven-thinking/taking-issue/.
10. G. King and L. Zeng. Logistic regression in rare events data. Political Analysis, 9(2):137-163, 2001.
11. B. Kitts and B. LeBlanc. Optimal bidding on keyword auctions. Electronic Markets, 14(3):186-201, 2004.
12. M. Muthukrishnan. Data mining problems in internet ad systems. In Tutorial at ACM SIGKDD, 2011.
13. B. Edelman M. Ostrovsky and M. Schwartz. Internet advertising and the generalized second prize auction: Selling billions of dollars worth of keywords. American Economic Review, 2006.
14. F. Provost, B. Dalessandro, R. Hook, X. Zhang, and A. Murray. Audience selection for on-line brand advertising: privacy-friendly social network targeting. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge discovery and data mining, 2009.
15. T. Raeder, B. Dalessandro, O. Stitelman, C. Perlich, and F. Provost. Design principles of massive, robust prediction systems. In Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012.
16. X. Shao and L. Li. Data-driven multi-touch attribution models. In Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 258-264, 2011.
17. A.A. Tsiatis. Semiparametric theory and missing data Springer Verlag, 2006.
18. W. Vickrey. Counterspeculation, auctions, and competitive sealed tenders. Journal of Finance, (16):8-27, 1961.
19. C. Xiong, T. Wang, W. Ding, Y. Shen, and T.Y. Liu. Relational click prediction for sponsored search. In Proceedings of WSDM, 2012.