This paper first preprocesses the original Web logs, that is, data cleaning, user identification, session identification and format conversion of the Web logs. Then, the ant colony clustering algorithm is used to perform cluster analysis on the preprocessed logs to extract representative user access patterns. Finally, collaborative filtering recommendation technology is used to recommend to website visitors and provide personalized services, thereby realizing personalized recommendations of the website.
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