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Rule-Based Platform for Web User Profiling
Hong Kong December 18-December 22
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDM.2006.137Sixth IEEE International Conference o ...
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Jianping Zhang, AOL, LLC, USA
Manu Shukla, AOL, LLC, USA
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
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