Sixth IEEE International Conference on Data Mining (ICDM'06) Rule-Based Platform for Web User Profiling Hong Kong December 18-December 22 ISBN: 0-7695-2701-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.137
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.
Citation:
Jianping Zhang, Manu Shukla, "Rule-Based Platform for Web User Profiling," icdm, pp.1183-1187, Sixth IEEE International Conference on Data Mining (ICDM'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||