A personalization information recommendation system based on VSM

Kang Chen · Jisuanji gongcheng yu sheji · 2003

A personalization information recommendation system is designed to assists the users of proxy cache service to get information from the Internet. User's interests can be gathered by the data mining procedures from user navigation patterns in the proxy logs. User interest profiles can be achieved according to VSM. Then those profiles are used to filter the information from the Internet and give the appropriate to the users. The feedback technologies are used in the quality evaluation system for better information recommendation.

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