Learning to rank audience for behavioral targeting in display ads

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2011, Pages 605-610

  Tang, Jian ^a   Liu, Ning ^b   Yan, Jun ^b   Shen, Yelong ^c   Guo, Shaodan ^d   Gao, Bin ^b   Yan, Shuicheng ^e   Zhang, Ming ^a  

^a PEKING UNIVERSITY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

^c BEIHANG UNIVERSITY   (China)

^d HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^e NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

behavioral targeting; display ads; user ranking

Indexed keywords

BEHAVIORAL TARGETING; CO-OPTIMIZATION; DISPLAY ADS; GENERATIVE MODEL; LARGE SIZES; LATENT DIRICHLET ALLOCATION; LEARNING TO RANK; LONG TAIL; RANK LEARNING; RAPID GROWTH; SEARCH BEHAVIOR; SMALL BUSINESS; SMALL GROUPS; TOPIC DISCOVERY; USER RANKINGS; USER SEGMENT;

INDEXING (OF INFORMATION); KNOWLEDGE MANAGEMENT; OPTIMIZATION; STATISTICS;

BEHAVIORAL RESEARCH;

EID: 83055181690     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2063576.2063666     Document Type: Conference Paper

References (12)

1. D. Blei and J. Lafferty. Latent dirichlet allocation. In Journal of Machine Learning Research, pages 993-1022, 2003.
2. D. Blei and J. Lafferty. Supervised topic models. In Proceedings of the Twenty-First Annual Conference on Neural Information Processing Systems, 2007.
3. J.Chang and D. Blei. Relation topic models for document networks. Artificial Intelligence and Statistics, 2009.
4. T. Chen, J. Yan, G.Xue, and Z. Cheng. Transfer learning for behavioral targeting. In Proceedings of the 19th International Conference on World Wide Web, pages 1077-1078, 2010.
5. Y. Chen, D. Pavlov, and J. F.Canny. Large-Scale Behavioral Targeting. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 209-218, 2009.
6. X. Gu, S. Yang, and H. Li. Named entity mining from clickthrough data using weakly supervised latent dirichlet allocation. In Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 267-274, 2009.
7. M. Jordan, editor. Learning in Graphical Models. MIT Press, Cambridge, MA, 1999.
8. T. Jaakkola. Variational methods for inference and estimation in graphical methods. PhD thesis, MIT. 1997.
9. N. Liu, J. Yan, D. Shen, D. Chen, Z. Chen, and Y. Li. Learning to rank audience for behavioral targeting. In Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 719-720, 2010.
10. Y. Liu, A. Niculescu-Mizil, and W. Grys. Topic-Link LDA: joint models for topic and author community. In Proceedings of the 26th Annual International Conference on Machine Learning, 2009.
11. J. Yan, N. Liu, G. Wang, W. Zhang, Y. Jiang, and Z. Chen. How much can behavioral targeting help online advertising? In Proceedings of the 18th International Conference on World Wide Web, pages 261-270, 2009.
12. Wikipedia. http://en.wikipedia.org/wiki/Display-advertising