Clickstream Log Acquisition with Web Farming

Authors:
Jia Hu;Ning Zhong
Affiliations:
Maebashi Institute of Technology;Maebashi Institute of Technology
Venue:
WI '05 Proceedings of the 2005 IEEE/WIC/ACM International Conference on Web Intelligence
Year:
2005

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Semantically enhanced user modeling

Proceedings of the 2007 ACM symposium on Applied computing

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Abstract

Collecting customer interaction data on the e-business websites and portals will help to figure out customer behavior and build customer profile, and then perform personalized services. Traditional Web server log is hard to be associated with specific customer and impossible to log the complete actions and movements of customers across web-sites. Collecting clickstream log at the application layer with Web farming technology will help to seamlessly integrate Web usage data with other customer-related data. This model can be developed as a common plugin for most existing e-business websites and portals.