DocumentCode
3107431
Title
Rule-Based Platform for Web User Profiling
Author
Zhang, Jianping ; Shukla, Manu
Author_Institution
AOL, Dulles, VA
fYear
2006
fDate
18-22 Dec. 2006
Firstpage
1183
Lastpage
1187
Abstract
This paper discusses a research project: rule-based Web user profiling platform. In this platform, usage data are encoded as a sequence of events, each of which represents an action performed by a user on a Web service at a given time. An event template is proposed to define event models for different Web services. The platform is rule-based. Rules define profile metrics and determine how to compute profile metrics from usage events. A prototype of the platform was implemented and was applied to generate profiles from page view events. The major contribution of the work is the rule-based approach to user profiling. It is the rules and the event template that provide the flexibility to allow the platform to be configured for different Web services.
Keywords
Web services; data compression; encoding; user modelling; Web service; Web user profiling; event template; profile metrics; rule-based platform; usage data encoding; Companies; Customer relationship management; Data mining; Engineering profession; Industrial relations; Prototypes; Web and internet services; Web mining; Web pages; Web services;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Mining, 2006. ICDM '06. Sixth International Conference on
Conference_Location
Hong Kong
ISSN
1550-4786
Print_ISBN
0-7695-2701-7
Type
conf
DOI
10.1109/ICDM.2006.137
Filename
4053176
Link To Document