The anatomy of an ad: Structured indexing and retrieval for sponsored search

Proceedings of the 19th International Conference on World Wide Web, WWW '10

Volumn , Issue , 2010, Pages 101-110

  Bendersky, Michael ^a   Gabrilovich, Evgeniy ^b   Josifovski, Vanja ^b   Metzler, Donald ^b  

^a The Manning College of Information and Computer Sciences   (United States)

^b YAHOO RESEARCH   (United States)

Author keywords

sponsored search; structured retrieval

Indexed keywords

CREATIVES; EXACT MATCH; HIERARCHICAL STRUCTURES; INDEXING AND RETRIEVAL; INDEXING TECHNIQUES; NON-TRIVIAL; RANKING ALGORITHM; RETRIEVAL METHODS; SEARCH PROBLEM; STANDARD INFORMATION; STRUCTURED RETRIEVAL; TEST COLLECTION;

INDEXING (OF INFORMATION); SEARCH ENGINES; STANDARDS; WORLD WIDE WEB;

INFORMATION RETRIEVAL;

EID: 77954656026     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1772690.1772702     Document Type: Conference Paper

References (34)

1. A. Anagnostopoulos, A. Z. Broder, E. Gabrilovich, V. Josifovski, and L. Riedel. Just-in-time contextual advertising. In Proceedings of CIKM, pages 331-340, 2007.
2. M. Bendersky and O. Kurland. Utilizing Passage-Based Language Models for Document Retrieval. In Proceedings of ECIR, pages 162-174, 2008.
3. A. Broder, P. Ciccolo, E. Gabrilovich, V. Josifovski, D. Metzler, L. Riedel, and J. Yuan. Online expansion of rare queries for sponsored search. In Proceedings of WWW, pages 511-520, 2009.
4. A. Broder, M. Fontoura, V. Josifovski, and L. Riedel. A semantic approach to contextual advertising. In Proceedings of SIGIR, pages 559-566, 2007.
5. A. Z. Broder, P. Ciccolo, M. Fontoura, E. Gabrilovich, V. Josifovski, and L. Riedel. Search advertising using web relevance feedback. In Proceedings of CIKM, 2008.
6. C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. Learning to rank using gradient descent. In Proceedings of ICML, 2005.
7. J. P. Callan. Passage-level evidence in document retrieval. In Proceedings of SIGIR, pages 302-310, 1994.
8. W. B. Croft and J. Lafferty. Language Modeling for Information Retrieval (The Information Retrieval Series). Springer, December 2003.
9. S. Dumais, E. Cutrell, J. Cadiz, G. Jancke, R. Sarin, and D. C. Robbins. Stuff I've seen: a system for personal information retrieval and re-use. In Proceedings of SIGIR, pages 72-79, 2003.
10. N. Fuhr, M. Lalmas, S. Malik, and Z. Szlavik. Advances in XML Information Retrieval. Springer, 2005.
11. K. Järvelin and J. Kekäaläainen. Cumulated gain-based evaluation of IR techniques. ACM TOIS, 20(4):422-446, 2002.
12. T. Joachims. Optimizing search engines using clickthrough data. In Proceedings of KDD, pages 133-142, 2002.
13. R. Jones, B. Rey, O. Madani, and W. Greiner. Generating query substitutions. In Proc. of WWW, pages 387-396, 2006.
14. G. Kazai and A. Doucet. Overview of the INEX 2007 book search track: Booksearch '07. SIGIR Forum, 42(1):2-15, 2008.
15. A. C. König, K. Church, and M. Markov. A data structure for sponsored search. In Proceedings of ICDE, 2009.
16. A. Lacerda, M. Cristo, M. A. Gonçalves, W. Fan, N. Ziviani, and B. Ribeiro-Neto. Learning to advertise. In Proceedings of SIGIR, pages 549-556, 2006.
17. M. Lalmas. XML information retrieval. In Encyclopedia of Library and Information Sciences. Taylor and Francis Group, 2009.
18. T.-Y. Liu. Learning to rank for information retrieval. Foundations and Trends in Information Retrieval, 3(3), 2009.
19. D. Metzler and W. B. Croft. Linear feature-based models for information retrieval. Information Retrieval, 10(3):257-274, 2007.
20. P. Ogilvie and J. Callan. Hierarchical language models for XML component retrieval. In Advances in XML Information Retrieval, pages 224-237. Springer, 2005.
21. J. M. Ponte and W. B. Croft. A language modeling approach to information retrieval. In Proceedings of SIGIR, pages 275-281, 1998.
22. X. Qi and B. D. Davison. Classifiers without borders: incorporating fielded text from neighboring web pages. In Proceedings of SIGIR, pages 643-650, 2008.
23. F. Radlinski, A. Broder, P. Ciccolo, E. Gabrilovich, V. Josifovski, and L. Riedel. Optimizing relevance and revenue in ad search: A query substitution approach. In Proceedings of SIGIR, 2008.
24. H. Raghavan and D. Hillard. A relevance model based filter for improving ad quality. In Proceedings of SIGIR, 2009.
25. B. Ribeiro-Neto, M. Cristo, P. B. Golgher, and E. S. de Moura. Impedance coupling in content-targeted advertising. In Proceedings of SIGIR, 2005.
26. S. Robertson, H. Zaragoza, and M. Taylor. Simple BM25 extension to multiple weighted fields. In Proceedings of CIKM, pages 42-49, 2004.
27. A. Singhal, G. Salton, M. Mitra, and C. Buckley. Document length normalization. Information Processing and Management, 32(5):619-633, 1996.
28. T. Strohman, D. Metzler, H. Turtle, and W. B. Croft. Indri: A language model-based search engine for complex queries. In Proceedings of the International Conference on Intelligence Analysis, 2004.
29. H. Wang, Y. Liang, L. Fu, G.-R. Xue, and Y. Yu. Efficient query expansion for advertisement search. In Proceedings of SIGIR, pages 51-58, 2009.
30. I. H. Witten and E. Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, 2nd edition, 2005.
31. Q. Wu, C. Burges, K. Svore, and J. Gao. Adapting boosting for information retrieval measures. Information Retrieval, pages 1-17, 2009.
32. Y. Yue, T. Finley, F. Radlinski, and T. Joachims. A support vector method for optimizing average precision. In Proceedings of SIGIR, pages 271-278, 2007.
33. C. Zhai. Statistical language models for information retrieval a critical review. Foundations and Trends in Information Retrieval, 2(3):137-213, 2008.
34. C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to information retrieval. ACM Transactions on Inf. Sys. (TOIS), 22(2):179-214, 2004.