Abstract: Facing the rapid development of the Internet and the massive information resources on the Web,it is urgent to enable users to quickly find the information they want,hence the course selection oriented to knowledge recommendation service is generated .Course selection oriented to knowledge recommendation service is the core issue in the research of personalized recommendation,Based on the theory of the Apriori algorithm of association rules,this method makes use of the traditional collaborative filtering recommendation algorithm to improve Apriori algorithm.Combined with students’ majors,hobbies and academic records,constructs the model of course recommendation system as well as the personalized recommendation algorithm analysis based on this model.Through data mining in the students’ academic record database,it guides students to choose more suitable courses and helps them to learn efficiently and develop with personal characteristics.

Key words: Association rules, Data mining, Knowledge recommendation, Recommendation engine, Recommendation service