Model Ensemble for Click Prediction in Bing Search Ads
Author:
Affiliation:
1. Microsoft Bing, Beijing, China
2. Microsoft Research, Beijing, China
Publisher
ACM Press
Reference30 articles.
1. E. Benjamin, O. Michael, and S. Michael. Internet advertising and the generalized second-price auction: Selling billions of dollars worth of keywords. The American economic review, 97(1):242--259, 2007.
2. V. B. C., D. Vacha, G. Saikat, and S. A. C. Empirical analysis of search advertising strategies. IMC, pages 79--91, 2015.
3. O. Chapelle, E. Manavoglu, and R. Rosales. Simple and scalable response prediction for display advertising. ACM Trans. Intell. Syst. Technol., 5(4):61:1--61:34, 2014.
4. T. Chen and C. Guestrin. XGBoost: A scalable tree boosting system. CoRR, abs/1603.02754, 2016.
5. Y. Chen, M. Kapralov, J. Canny, and D. Y. Pavlov. Factor modeling for advertisement targeting. In NIPS, pages 324--332. 2009.
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