关键词: 用户推荐模型, FP-TREE, 高校教评

Abstract: To find some hidden association rules mainly through historical data, but for different users, different rules are more effective. Thus to find out more valuable rules arouses extensive attention. This paper presents an improved model based on user interest association rules algorithm classification from the perspective of the user to find different rules for different users. The algorithm has been applied in the current teaching evaluation in the universities to verify the validity of the method.

Key words: user recommendation model, FP-TREE, teaching evaluation