Consistent phrase relevance measures

Proceedings of the 2nd International Workshop on Data Mining and Audience Intelligence for Advertising, ADKDD'08

Volumn , Issue , 2008, Pages 37-44

  Yih, Wen Tau ^a   Meek, Christopher ^a  

^a MICROSOFT RESEARCH   (United States)

Author keywords

Gaussian process regression; Keyword extraction; Online advertising; Relevance measures

Indexed keywords

GAUSSIAN PROCESS REGRESSION; GAUSSIAN PROCESS REGRESSION MODEL; KEYWORD EXTRACTION; ONLINE ADVERTISING; RELEVANCE MEASURE; RELEVANCE MEASURES; RELEVANCE SCORE; SIMILARITY-BASED METHODS;

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); INFORMATION SERVICES;

REGRESSION ANALYSIS;

EID: 70349124872     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1517472.1517477     Document Type: Conference Paper

References (25)

1. E. Agichtein, E. Brill, S. Dumais, and R. Ragno. Learning user interaction models for predicting web search result preferences. In SIGIR '06, 2006.
2. A. Broder, M. Fontoura, V. Josifovski, and L. Riedel. A semantic approach to contextual advertising. In SIGIR '07, 2007.
3. C. Cortes and M. Mohri. Confidence intervals for the area under the roc curve. In Advances in Neural Information Processing Systems 17, 2005.
4. C. Craswell and M. Szummer. Random walks on the click graph. In SIGIR '07, 2007.
5. H. Cui, J.-R. Wen, J.-Y. Nie, and W.-Y. Ma. Probabilistic query expansion using query logs. In Proceedings of the 11th international conference on World Wide Web (2002), pages 325-332, 2002.
6. E. Frank, G. W. Paynter, I. H. Witten, C. Gutwin, and C. G. Nevill-Manning. Domain-specific keyphrase extraction. In Proc. of IJCAI-99, pages 668-673, 1999.
7. R. Jones, B. Rey, O. Madani, and W. Greiner. Generating query substitutions. In Proc. of WWW-06, 2006.
8. V. Lavrenko and W. B. Croft. Relevance-based language models. In SIGIR '01, pages 120-127, 2001.
9. D. J. C. MacKay. Introduction to Gaussian processes. In C. M. Bishop, editor, Neural Networks and Machine Learning, pages 133-166. Kluwer, 1998.
10. D. Metzler, S. Dumais, and C. Meek. Similarity measures for short segments of text. In Proc. of ECIR-07, 2007.
11. A. Niculescu-Mizil and R. Caruana. Predicting good probabilities with supervised learning. In ICML, pages 625-632, 2005.
12. J. Platt. Probabilities for support vector machines. In A. Smola, P. Bartlett, B. Scolkopf, and D. Schuurmans, editors, Advances in Large Margin Classifiers. MIT press, 2000.
13. Y. Qiu and H.-P. Frei. Concept based query expansion. In SIGIR '93: Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval, pages 160-169, New York, NY, USA, 1993. ACM Press.
14. C. E. Rasmussen and C. K. Williams. Gaussian Processes for Machine Learning. Adaptive Computation and Machine Learning. The MIT Press, Cambridge, MA, USA, 01 2006.
15. B. Ribeiro-Neto, M. Cristo, P. B. Golgher, and E. S. de Moura. Impedance coupling in content-targeted advertising. In SIGIR-05, pages 496-503, 2005.
16. S. Robertson and S. Walker. Some simple effective approximations to the 2-Poisson model for probabilistic weighted retrieval. In SIGIR '94, pages 345-354, 1994.
17. S. Robertson, H. Zaragoza, and M. Taylor. Simple BM25 extension to multiple weighted fields. In CIKM '04, pages 42-49, 2004.
18. M. Sahami and T. Heilman. A web-based kernel function for measuring the similarity of short text snippets. In Proc. of WWW-06, 2006.
19. B. Scholkopf and A. J. Smola. Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond. MIT Press, 2001.
20. K. Sparck Jones, S. Walker, and S. E. Robertson. A probabilistic model of information retrieval: development and comparative experiments - parts 1 &2. Information Processing and Management, 36(6), 2000.
21. J. Xu and W. B. Croft. Query expansion using local and global document analysis. In SIGIR '96, pages 4-11, 1996.
22. W. Yih, J. Goodman, and V. Carvalho. Finding advertising keywords on web pages. In Proc. of WWW-06, 2006.
23. W. Yih and C. Meek. Improving similarity measures for short segments of text. In Proc. of AAAI '07, 2007.
24. C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to ad hoc information retrieval. In SIGIR '01, pages 334-342, 2001.
25. Q. Zhao, S. C. H. Hoi, T.-Y. Liu, S. S. Bhowmick, M. R. Lyu, and W.-Y. Ma. Time-dependent semantic similarity measure of queries using historical click-through data. In Proc. of WWW '06, 2006.