Mining generalized query patterns from web logs

Author

Ling, Charles X. ; Gao, Jianfeng ; Zhang, Huajie ; Qian, Weining ; Zhang, Hongjiang

Author_Institution

Dept. of Comput. Sci., Univ. of Western Ontario, London, Ont., Canada

fYear

2001

fDate

6-6 Jan. 2001

Abstract

User logs of a popular search engine keep track of user activities including user queries, user click-through from the returned list, and user browsing behaviors. Knowledge about user queries discovered from user logs can improve the performance of the search engine. We propose a data-mining approach that produces generalized query patterns or templates from the raw user logs of a popular commercial knowledge-based search engine that is currently in use. Our simulation shows that such templates can improve search engine´s speed and precision, and can cover queries not asked previously. The templates are also comprehensible so web editors can easily discover topics in which most users are interested.

Keywords

Internet; data mining; digital simulation; information resources; knowledge based systems; query processing; search engines; data-mining approach; generalized query patterns; generalized query patterns mining; knowledge-based search engine; search engine; simulation; templates; user activities; user browsing; user click-through; user logs; user queries; web editors; web logs; Bayesian methods; Computer science; Data mining; Electrical capacitance tomography; Internet; Read only memory; Search engines; Web pages; Web server; Web sites;

fLanguage

English

Publisher

ieee

Conference_Titel

System Sciences, 2001. Proceedings of the 34th Annual Hawaii International Conference on

Conference_Location

Maui, HI, USA

Print_ISBN

0-7695-0981-9

Type

conf

DOI

10.1109/HICSS.2001.926534

Filename

926534