基于在线支持向量机的网页预测

17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05) Pub Date : 2005-11-14 DOI:10.1109/ICTAI.2005.128

Zhili Zhang, Changgeng Guo, Shu Yu, Deyu Qi, Songqian Long

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引用次数: 11

摘要

本文提出了一种基于支持向量机的在线学习算法，并将其应用于Web预测问题。提出了一种构建在线LS-SVM多类学习模型的方法。该方法能够捕获Web访问的固有顺序，并成功地预测未来的访问。实验结果表明了该方法的有效性

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Web prediction using online support vector machine

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

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17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05)

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