Abstract
Pointing to the demand of large scale internet websites want to improve users’ loyalty and flows maintaining. A novel conception of analysis engine for massive user behavior is proposed in this paper, which combines static analysis with dynamic monitoring for user behavior. It apply some improved data mining model based on cloud computing to analysis Web log data and contextual information of the page acquired real-time. Meanwhile, using cloud database for efficient processing and storaging. The results show that this system could significantly improve the effect and efficiency of user behavior analysis.
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