A noisy-channel approach to contextual advertising

1st International Workshop on Data Mining and Audience Intelligence for Advertising, ADKDD 2007, Held in Conjunction with SIGKDD'07

Volumn , Issue , 2007, Pages 21-27

  Murdock, Vanessa ^a   Ciaramita, Massimiliano ^a   Plachouras, Vassilis ^a  

^a YAHOO RESEARCH   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

NOISY CHANNEL; ON-MACHINES; WEB PAGE;

INFORMATION THEORY; LINGUISTICS; SPEECH TRANSMISSION; WORLD WIDE WEB;

DATA MINING;

EID: 57349088301     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1348599.1348603     Document Type: Conference Paper

References (22)

1. L. M. Adler. A modification of kendall's tau for the case of arbitrary ties in both rankings. Journal of the American Statistical Association, 52(277):33-35, 1957.
2. Y. Al-Onaizan, J. Curin, M. Jahr, K. Knight, J. Lafferty, D. Melamed, F.-J. Och, D. Purdy, N. A. Smith, and D. Yarowsky. Statistical machine translation, final report, JHU workshop, 1999.
3. J. Allan, J. Callan, K. Collins-Thompson, W. B. Croft, F. Feng, D. Fisher, J. Lafferty, L. Larkey, T. N. Truong, P. Ogilvie, L. Si, T. Strohman, H. Turtle, and C. Zhai. The lemur toolkit for language modeling and information retrieval, 2005. http://www.cs.cmu.edu/ lemur.
4. A. Berger and J. Lafferty. Information retrieval as statistical translation. In Proceedings of the 22nd Annual Conference on Research and Development in Information Retrieval (ACM SIGIR), 1999.
5. A. Broder, M. Fontoura, V. Josifovski, and L. Riedel. A semantic approach to contextual advertising. In Proceedings of the 30th Annual Conference on Research and Development in Information Retrieval (SIGIR), 2007.
6. P. F. Brown, S. A. Della Pietra, V. J. Della Pietra, and R. L. Mercer. The mathematics of statistical machine translation: Parameter estimation. Computational Linguistics, 19(2):263-311, 1993.
7. W. Cohen. Fast effective rule induction. In Proceedings of the Twelfth International Conference on Machine Learning, pages 115-123, 1995.
8. IAB: Interactive Advertising Bureau. IAB internet advertising revenue report, 2006. http://www.iab.net/resources/adrevenue/ (May 2007).
9. J. Jeon, W. B. Croft, and J. H. Lee. Finding similar questions in large question and answer archives. In Proceedings of the 28th Annual Conference on Research and Development in Information Retrieval (SIGIR), 2005.
10. T. Joachims. Optimizing search engines using clickthrough data. In Proceedings of the 8th International Conference on Knowledge Discovery and Data Mining (KDD), 2002.
11. M. G. Kendall. A new measure of rank correlation. Biometrika, 30:81-93, 1938.
12. R. Krovetz. Viewing morphology as an inference process. In Proceedings of the 16th International ACM SIGIR Conference on Research and Development in Information Retrieval, 1993.
13. A. Lacerda, M. Cristo, M. A. Gon calves, W. G. Fan, N. Ziviani, and B. A. Ribeiro-Neto. Learning to advertise. In Proceedings of the 29th Annual Conference on Research and Development in Information Retrieval (SIGIR), 2006.
14. G. A. Miller. WordNet: A lexical database. Communications of the ACM, 38(11):39-41, 1995.
15. V. Murdock and W. B. Croft. Simple translation models for sentence retrieval in factoid question answering. In Proceedings of the Information Retrieval for Question Answering Workshop at SIGIR 2004, 2004.
16. V. Murdock and W. B. Croft. A translation model for sentence retrieval. In Proceedings of the Conference on Human Language Technologies and Empirical Methods in Natural Language Processing (HLT/EMNLP), 2005.
17. NIST. Automatic evaluation of machine translation quality using n-gram co-occurrence statistics, 2002. http://www.nist.gov/speech/tests/mt/doc/ngram- study.pdf (May 2007).
18. I. Ounis, G. Amati, V. Plachouras, B. He, C. McDonald, and C. Lioma. Terrier: A high performance and scalable information retrieval platform. In Proceedings of the ACM SIGIR'06 Workshop on Open Source Information Retrieval (OSIR), 2006.
19. K. Papineni, S. Roukos, T. Ward, and W.-J. Zhu. Bleu: a method for automatic evaluatino of machine translation. In Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics (ACL), 2002.
20. B. A. Ribeiro-Neto, M. Cristo, P. B. Golgher, and E. S. de Moura. Impedance coupling in content-targeted advertising. In Proceedings of the 28th Annual Conference on Research and Development in Information Retrieval (SIGIR), 2005.
21. W.-T. Yih, J. Goodman, and V. Carvalho. Finding advertising keywords on web pages. In Proceedings of the 15th International World Wide Web Conference (WWW), 2006.
22. C. Y. Yoo. Preattentive Processing of Web Advertising. PhD thesis, University of Texas at Austin, 2006.