“Electronic system design” is an important course closely related to electronic design competition. Due to the constraints of class time, students need to preview independently before class under the guidance of teachers. We design a recommendation system based on improved collaborative filtering algorithm. To increase the accuracy of algorithm, the user\'s attribute similarity is combined with the collaborative filtering recommendation algorithm to improve the cold start problem and data sparsity.Then we build an experimental teaching platform of \Electronic System Design\" curriculum to achieve automatic recommendation of experimental learning resources under teachers’ guidance ."