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17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)
Web Prediction Using Online Support Vector Machine
Hong Kong, China
November 14-November 16
ISBN: 0-7695-2488-5
Zhili Zhang, South China University of Technology and Xuchang University
Changgeng Guo, Xuchang Vocational and Technical College
Shu Yu, South China University of Technology
De Yu Qi, South China University of Technology
Songqian Long, South China University of Technology
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.
Index Terms:
Web prediction, support vector machine, online learning, multi-class
Citation:
Zhili Zhang, Changgeng Guo, Shu Yu, De Yu Qi, Songqian Long, "Web Prediction Using Online Support Vector Machine," ictai, pp.451-456, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005
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