Intelligent course recommendation based on neural network for innovation and entrepreneurship education of college students

This paper focuses on intelligence course recommendations for college students’ innovation and entrepreneurship education. Firstly, the traditional collaborative filtering algorithm was introduced, then a new recommendation technique designed based an artificial neural network (ANN). The experimental data were collected through crawler framework. two methods compared analyzed. It found that training time of ANN 16.78 s 12.36 s, testing 2.64 2.12 HR values 0.6078 0.6264, normalized discounted cumulative gain (NDCG) 0.2948 0.3356, respectively. results reveal more efficient in computation better recommendations. demonstrate effectiveness method intelligent can be applied to selection education courses students.