Modeling user search behavior

Proceedings - Third Latin American Web Congress, LA-WEB 2005

Volumn 2005, Issue , 2005, Pages 242-251

  Baeza Yates, Ricardo ^a   Hurtado, Carlos ^a   Mendoza, Marcelo ^a   Dupret, Georges ^a  

^a UNIVERSITY OF CHILE   (Chile)

Author keywords

[No Author keywords available]

Indexed keywords

USER SEARCH BEHAVIOR; WEB DATA; WEB MINING;

BEHAVIORAL RESEARCH; COMPUTER SIMULATION; MATHEMATICAL MODELS; QUERY LANGUAGES; SEARCH ENGINES; USER INTERFACES; WEBSITES;

ONLINE SEARCHING;

EID: 33847038783     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/LAWEB.2005.23     Document Type: Conference Paper

References (28)

1. R. A. Baeza-Yates. Applications of web query mining. In ECIR 2005, Santiago de Compostela, Spain, March 21-23, volume 3408 of Lecture Notes in Computer Science, pages 7-22. Springer, 2005.
2. R. A. Baeza-Yates, C. A. Hurtado, and M. Mendoza. Query clustering for boosting web page ranking. In AWIC 2004, Cancun, Mexico, May 16-19, volume 3034 of Lecture Notes in Computer Science, pages 164-175. Springer, 2004.
3. R. A. Baeza-Yates, C. A. Hurtado, and M. Mendoza. Query recommendation using query logs in search engines. In EDBT 2004 Workshops, Heraklion, Crete, Greece, March 14-18, volume 3268 of Lecture Notes in Computer Science, pages 588-596. Springer, 2004.
4. S. M. Beitzel, E. C. Jensen, A. Chowdhury, D. Grossman, and O. Frieder. Hourly analysis of a very large topically categorized web query log. In SIGIR'04, pages 321-328, New York, NY, USA, 2004. ACM Press.
5. A. Z. Broder. A taxonomy of web search. SIGIR Forum, 36(2):3-10, 2002.
6. A. Z. Broder and A. C. Ciccolo. Towards the next generation of enterprise search technology. IBM Systems Journal, 43(3):451-454, 2004.
7. Z. Chen, F. Lin, H. Liu, W.-Y. Ma, and L. Wenyin. User intention modelling in web applications using data mining. World Wide Web, 5(2):181-192, 2002.
8. R. Cooley, B. Mobasher, and J. Srivastava. Data preparation for mining world wide web browsing patterns. Knowledge and Information Systems, 1(1):5-32, 1999.
9. F. Crestani and G. Pasi. Handling vagueness, subjectivity, and imprecision in information access: an introduction to the special issue. Inf. Process. Manage., 39(2):161-165, 2003.
10. H. Cui, J. Wen, J. Nie, and W. Ma. Probabilistic query expansion using query logs. In Proceedings of the 11th WWW conference, pages 325-332. ACM Press, 2002.
11. H. Cui, J. Wen, J. Nie, and W. Ma. Query expansion by mining user logs. IEEE Transaction on Knowledge, and Data Engineering, 15(4):829-839, July/August 2003.
12. M. Deshpande and G. Karypis. Selective markov models for predicting web-page accesses. In 1st SIAM Data Mining Conference, April 5-7, Chicago, USA, 2001.
13. B. J. Jansen and A. Spink. An analysis of web searching by european alltheweb.com users. Information Processing and Management, 41(2):361-381, 2005.
14. M. Jansen, A. Spink, J. Bateman, and T. Saracevic. Real life information retrieval: a study of user queries on the web. ACM SIGIR Forum, 32(1):5-17, 1998.
15. M. Lalmas. Information Retrieval: Uncertainty and Logics. Kluwer Academic Publishers, Norwell, MA, USA, 1998.
16. U. Lee, Z. Liu, and J. Cho. Automatic identification of user goals in web search. In Fourteenth International World Wide Web Conference, May 10-14, Chiba, Japan, pages 391-400. ACM Press, 2005.
17. S. Otsuka, M. Toyoda, J. Hirai, and M. Kitsuregawa. Extracting user behavior by web communities technology on global web logs. In DEXA, pages 957-988, 2004.
18. J. Pitkow, H. Schtze, T. Cass, R. Cooley, D. Turnbull, A. Edmonds, E. Adar, and T. Breuel. Personalized search. Commun. ACM, 45(9):50-55, 2002.
19. D. Rose and D. Levinson. Understanding user goals in web search. In Thirteenth International World Wide Web Conference, May 17-22, 2004, New York, USA, pages 13-19. ACM Press, 2004.
20. C. Silverstein, H. Marais, M. Henzinger, and M. Moricz. Analysis of a very large web search engine query log. SI-GIR Forum, 33(1):6-12, 1999.
21. A. Spink and O. Gunar. E-commerce web queries: Excite and ask jeeves study. First Monday, 6(7), 2001.
22. A. Spink, D. Wolfram, B. Jansen, and T. Saracevic. Searching the web: the public and their queries. Journal of the American Society of Information Science and Technology, 52(3):226-234, 2001.
23. J. L. Xu and A. Spink. Web research: The excite study. In Proceedings of WebNet 2000, San Antonio, Texas, USA, October 30 - November 4, pages 581-585. AACE, 2000.
24. G. Xue, H. Zeng, Z. Chen, W. Ma, and C. Lu. Log mining to improve the performance of site search. In WISE Workshops 2002.
25. G.-R. Xue, H.-J. Zeng, Z. Chen, Y. Yu, W.-Y. Ma, W. Xi, and W. Fan. Optimizing web search using web click-through data. In CIKM '04, pages 118-126, New York, NY, USA, 2004. ACM Press.
26. A. Ypma and T. Heskes. Automatic categorization of web pages and user clustering with mixtures of hidden markov models. In WEBKDD 2002, Edmonton, Canada, July 23, volume 2703 of Lecture Notes in Computer Science, pages 35-49. Springer, 2003.
27. H.-J. Zeng, Q.-C. He, Z. Chen, W.-Y. Ma, and J. Ma. Learning to cluster web search results. In SIGIR '04, pages 210-217, New York, NY, USA, 2004. ACM Press.
28. D. Zhang and Y. Dong. A novel web usage mining approach for search engines. Computer Networks Elsevier, pages 303-310, April 2002.