基于用户行为分析的Web QoS请求分类

Wang Cong, Guo Xiaolei, Shan Zhiguang
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引用次数: 2

摘要

请求分类是Web服务质量控制的重要策略之一。用户行为分析可以使Web服务更加智能化和个性化,越来越受到研究者的关注。本文提出了一种基于用户行为分析的Web请求分类方法,并应用该分类方法形成Web QoS控制策略。该方法包括三个部分:从Web日志中获取点击流序列,通过KNN算法对用户的点击流序列进行分类,根据分类结果形成Web QoS控制策略。实验结果表明,该方法能取得满意的分类效果。
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Request classification of Web QoS based on user behaviour analysis
Request classification is one of important strategies of Web QoS control. User behaviour analysis can make Web service more intelligent and personal, on which more and more attentions have been paid by the researchers. In this paper, we propose a method to classify Web request based on user behaviour analysis, and apply the classification to form Web QoS control strategy. This method includes three parts: acquiring click-stream sequence form Web logs, classifying userspsila click-stream sequence by KNN algorithm, and forming Web QoS control strategy according to the results of classification. Experiment results show that our method can achieve satisfactory effect of classification.
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