Classifying and characterizing query intent

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5478 LNCS, Issue , 2009, Pages 578-586

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

^a UNIVERSITY OF WATERLOO   (Canada)

^b EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLICK-THROUGH RATE; QUERY TYPES; SEARCH ENGINE RESULTS; SEARCH RESULTS; SPECIFIC INFORMATION; USER SATISFACTION;

INFORMATION SERVICES; SEARCH ENGINES; WORLD WIDE WEB;

INFORMATION RETRIEVAL;

EID: 67650706864     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00958-7_53     Document Type: Conference Paper

References (10)

1. Ashkan, A., Clarke, C., Agichtein, E., Guo, Q.: Characterizing query intent from sponsored search clickthrough data. In: Proceedings of the SIGIR Workshop on Informational Retrieval for Advertising, pp. 15-22 (2008)
2. Broder, A.: A taxonomy of Web search. ACM SIGIR Forum 36(2), 3-10 (2002)
3. Canu, S., Grandvalet, Y., Guigue, V., Rakotomamonjy, A.: SVM and kernel methods matlab toolbox. Perception Systems et Information, INSA de Rouen, Rouen, France (2005)
4. Dai, H., Zhao, L., Nie, Z., Wen, J., Wang, L., Li, Y.: Detecting Online Commercial Intention (OCI). In: Proceedings of the 15th International Conference on World Wide Web, pp. 829-837 (2006) (Pubitemid 46946678)
5. Debmbsczynski, K., Kotlowski, W., Weiss, D.: Predicting ads clickthrough rate with decision rules. In: Workshop on Target and Ranking for Online Advertising, WWW 2008 (2008)
6. Jansen, B.: The comparative effectiveness of sponsored and nonsponsored links for Web e-commerce queries. ACM Transactions on the Web 1(1) (2007)
7. Jansen, B., Brown, A., Resnick, M.: Factors relating to the decision to click on a sponsored link. Decision Support Systems 44(1), 46-59 (2007) (Pubitemid 47374298)
8. Lee, U., Liu, Z., Cho, J.: Automatic identification of user goals in Web search. In: Proceedings of the 14th International Conference on World Wide Web, pp. 391-400 (2005)
9. Regelson, M., Fain, D.: Predicting clickthrough rate using keyword clusters. In: Proceedings of the 2nd Workshop on Sponsored Search Auctions (2006)
10. Richardson, M., Dominowska, E., Ragno, R.: Predicting clicks: estimating the clickthrough rate for new ads. In: Proceedings of the 16th International Conference on World Wide Web, pp. 521-530 (2007) (Pubitemid 47582281)