Knowledge Graph Technology Helps Intelligent Reform of Innovation and Entrepreneurship Guidance Courses for College Students

Constructing personalised learning resources based on a knowledge graph is an innovative work for the intelligent reform of college students’ innovation and entrepreneurship guidance courses. In this paper, we design a personalised recommendation method for resources based on a knowledge graph and finally construct a KG-NCF model to realise intelligent recommendations of learning resources for college students’ innovation and entrepreneurship guidance courses. The study uses the recall evaluation index to validate different recommendation methods. The average recall of this paper’s method is 0.738, which is higher than other algorithms by 0.044 to 0.132. The mean value of students’ evaluation of the innovation and entrepreneurship guidance course applying this paper’s method is 3.37 points, which is 1.37 points higher than the standard score. It shows that the personalised resource recommendation model based on a knowledge graph can provide higher quality innovation and entrepreneurship learning resources for university students.