Educational Information Recommendation System for College Design Based on Apriori Algorithm

Abstract

Educational information recommendation service is an important factor in realizing educational information sharing. In the massive educational information, users can quickly find the educational information resources they need, meet users' learning needs, and bring users a good learning experience. This paper designs an educational information recommendation system for colleges and universities. The functions provided by the system to users are mainly to facilitate the use of educational information resources. Users can choose subjects or courses to browse resources according to their own interests. This paper uses Mashup technology to integrate various educational information resources, realizes the function of educational information recommendation, and then uses the Apriori algorithm to mine the characteristics of association rules, and obtains the evaluation results of educational resources according to the user's interest in educational resources.