In the mood to click? Towards inferring receptiveness to search advertising

Proceedings - 2009 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2009

Volumn 1, Issue , 2009, Pages 319-324

  Guo, Qi ^a   Agichtein, Eugene ^a   Clarke, Charles L A ^b   Ashkan, Azin ^b  

^a EMORY UNIVERSITY   (United States)

^b UNIVERSITY OF WATERLOO   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION METHODS; INTERACTION INFORMATION; POTENTIAL APPLICATIONS; SEARCH INTERFACES; SEARCH SESSIONS; USER INTERACTION; USER INTERESTS;

CLASSIFICATION (OF INFORMATION); FORECASTING;

MARKETING;

EID: 84856931651     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WI-IAT.2009.368     Document Type: Conference Paper

References (25)

1. E. Agichtein, E. Brill, and S. Dumais. Improving web search ranking by incorporating user behavior information. In Proc. of SIGIR, 2006.
2. E. Agichtein, E. Brill, S. Dumais, and R. Ragno. Learning user interaction models for predicting web search result preferences. In Proc. of SIGIR, 2006.
3. H. Becker, C. Meek, and D. Chickering. Modeling Contextual Factors of Click Rates. In Proc. of AAAI, 2007.
4. N. J. Belkin. User modeling in information retrieval. Tutorial at UM97, 1997.
5. M. Bilenko and R. White. Mining the search trails of the surfing crowds: Identifying relevant websites from user activity. In Proc. WWW, 2008.
6. A. Broder. A taxonomy of web search. SIGIR Forum, 2002.
7. A. Z. Broder, M. Ciaramita, M. Fontoura, E. Gabrilovich, V. Josifovski, D. Metzler, V. Murdock, and V. Plachouras. To swing or not to swing: Learning when (not) to advertise. In Proc. of CIKM, 2008.
8. H. Cao, D. Jiang, J. Pei, E. Chen, and H. Li. Towards contextaware search by learning a very large variable length hidden markov model from search logs. In WWW '09: Proceedings of the 18th international conference on World wide web, pages 191-200, 2009.
9. H. Cao, D. Jiang, J. Pei, Q. He, Z. Liao, E. Chen, and H. Li. Context-aware query suggestion by mining clickthrough and session data. In Proceeding of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining (KDD), 2008.
10. M. Ciaramita, V. Murdock, and V. Plachouras. Online learning from click data for sponsored search. In Proc. of WWW, 2008.
11. N. Craswell and M. Szummer. Random walks on the click graph. In Proc. SIGIR, 2007.
12. E. Cutrell and Z. Guan. What are you looking for?: an eyetracking study of information usage in web search. In Proc. of CHI, 2007.
13. H. K. Dai, L. Zhao, Z. Nie, J.-R. Wen, L. Wang, and Y. Li. Detecting online commercial intention (oci). In Proc. of WWW, 2006.
14. D. Downey, S. T. Dumais, and E. Horvitz. Models of searching and browsing: Languages, studies, and application. In Proc. of IJCAI, 2007.
15. A. Ghose and S. Yang. An empirical analysis of sponsored search performance in search engine advertising. In Proc. of WSDM, 2008.
16. Q. Guo and E. Agichtein. Exploring client-side instrumentation for personalized search intent inference. In Proc. of ITWP, 2008.
17. T. Joachims, L. Granka, B. Pan, H. Hembrooke, F. Radlinski, and G. Gay. Evaluating the accuracy of implicit feedback from clicks and query reformulations in web search. ACM Trans. Inf. Syst., 25(2), 2007.
18. U. Lee, Z. Liu, and J. Cho. Automatic identification of user goals in web search. In Proc. of WWW, 2005.
19. J. G. Phillips and T. J. Triggs. Characteristics of cursor trajectories controlled by the computer mouse. Ergonomics, 2001.
20. B. Piwowarski, G. Dupret, and R. Jones. Mining user web search activity with layered bayesian networks or how to capture a click in its context. In Proc. of WSDM, 2009.
21. F. Radlinski and T. Joachims. Query chains: learning to rank from implicit feedback. In Proc. of KDD, 2005.
22. M. Richardson, E. Dominowska, and R. Ragno. Predicting clicks: estimating the click-through rate for new ads. In Proc. of WWW, 2007.
23. K. Rodden, X. Fu, A. Aula, and I. Spiro. Eye-mouse coordination patterns on web search results pages. In Proc. of CHI, 2008.
24. D. E. Rose and D. Levinson. Understanding user goals in web search. In Proc. of WWW, 2004.
25. R. W. White and S. M. Drucker. Investigating behavioral variability in web search. In Proc. of WWW, 2007.