This paper presents a personalized recommendation system by using Ontology and universal user profile. Firstly, the Website directory service is used as Ontology to identify user’s browsing behaviors on Internet to discover user preferences. Secondly, the redundant Web logs are filtered out by using Web usage mining technology , which can enhance the accuracy of personalization. Finally, from user preference directory, user’s potential preference is discovered by using the hierarchical property,that is,to bring out the universal user profile which match the characteristics of the user.
刘松 . 网络环境中个性化推荐系统研究*[J]. 现代图书情报技术, 2007, 2(4): 35-38.
Liu Song . Study of Personalized Recommendation System on Internet. New Technology of Library and Information Service, 2007, 2(4): 35-38.
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