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

Hua Zhang, Shi-jue Zheng, Hong Xu


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.


Web Courses Resources , Recommendation system, WP Algorithm

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Copyright (c) 2017 Hua Zhang, Shi-jue Zheng, Hong Xu

International Journal of Emerging Technologies in Learning (iJET) – eISSN: 1863-0383
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