Personalised recommendation method of educational resources for ideological and political courses based on data mining

In order to improve the teaching quality of ideological and political courses, a personalised recommendation method of educational resources for ideological and political courses based on data mining is proposed in this paper. Firstly, the topological structure for course resources distribution is established, and the data structure features of educational resources are rearranged through sparse and discrete dimension detection. Then, a personalised recommendation model of educational resources is established to control and optimise the recommendation process of teaching resources. The knowledge map model is used to realise the information interaction between users and projects, and the entity embedding and high-order preference dissemination recommendation methods are used to realise the personalised recommendation of educational resources for ideological and political courses. The experimental results show that this method can contributes to high recommendation satisfaction and has a certain application value.