This paper proposes a personalized Web pages recommendation model based on sequential patterns. Firstly, this model extracts the Web transaction set by Web usage preparation. Secondly, it applies a sequential patterns algorithm to discover frequent (contiguous) sequences. Finally, the model utilizes frequent (contiguous) sequences tree to generate user interest view and provides personalized recommendation set.
易明 . 基于序列模式的个性化Web页面推荐模型*[J]. 现代图书情报技术, 2008, 24(8): 42-47.
Yi Ming. A Personalized Web Pages Recommendation Model Based on Sequential Patterns. New Technology of Library and Information Service, 2008, 24(8): 42-47.
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