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
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||