Title :
Rule-Based Platform for Web User Profiling
Author :
Zhang, Jianping ; Shukla, Manu
Author_Institution :
AOL, Dulles, VA
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;
Conference_Titel :
Data Mining, 2006. ICDM '06. Sixth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7695-2701-7
DOI :
10.1109/ICDM.2006.137