Abstract

The emphases of this study are Web log data preprocessing and collaborative filtering. Aiming at user session identification in the process of data preprocessing and analyzing existing algorithms, this paper established a Web log data preprocessing algorithm based on collaborative filtering. Detailed steps of algorithm and an experimental simulation were carried out. The results of the experiment indicated that the application of collaborative filtering in Web log data preprocessing could provide high-quality data for subsequent log mining. The application is feasible and effective.

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