Web Prediction Using Online Support Vector Machine

Authors:
Zhili Zhang;Changgeng Guo;Shu Yu;De Yu Qi;Songqian Long
Affiliations:
South China University of Technology and Xuchang University;Xuchang Vocational and Technical College;South China University of Technology;South China University of Technology;South China University of Technology
Venue:
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
Year:
2005

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Abstract

In this paper, a SVM-based online learning algorithm is proposed and applied to the problem of web prediction. A method to construct an Online LS-SVM multi-class Learning Model has been presented. This method is able to capture the inherent sequentiality of web visits and successfully predict the future accesses. The experimental results show the effective performance of our method.