Abstract:

The understanding of the pattern of users’ behavior plays an important role in reducing the cost of the system and improving the availability of it. The article mainly introduces a method based on FP-tree and association rules, which aims at getting the frequent patterns according to the data of college library. By combining the related samples and the patterns, the author puts forward some advice to optimize the structure of web and resources to realize personalized service.

Key words: Log analysis, FP-tree, User behavior, Personalized service