Study on the Web Courses Resources Recommendation System based on WP Algorithm

Abstract

To solve the problem of low WEB course resources utilization rate and help users quickly find the high-quality course resources, a WEB course resources recommendation system based on WP algorithm was established. In this system, course resources were automatically classified using WP algorithm, and a course quality evaluation model based on user implicit evaluation was also set up. The experimental results showed that the method had a very good classification effect, and it could effectively narrow the scope of the resources searched by users and improve resource search quality.