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This paper presents a personalization recommendation model to recommend potentially interesting resources to users based on the Web access log of users. This model builds on the apriori algorithm and the tf-idf technology, which consists of three parts: resource description, user's preference extraction and the personalization recommendation. Firstly, our model generates resource text space vector...
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