Web prediction using online support vector machine
ICTAI（2005）
摘要
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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关键词
online ls-svm multiclass learning model,online support,learning (artificial intelligence),web visit,online support vector machine,future access,web prediction,online learning,vector machine,svm-based online learning algorithm,support vector machine,internet,web visit sequentiality,svm-based online,multi-class,inherent sequentiality,effective performance,online ls-svm multi-class learning,support vector machines,learning artificial intelligence
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