Research Article
Personalized Recommendation Method of Online Music Teaching Resources Based on Mobile Terminal
@INPROCEEDINGS{10.1007/978-3-031-28867-8_26, author={Hui Lin and Ying Lin and Hongping Huang}, title={Personalized Recommendation Method of Online Music Teaching Resources Based on Mobile Terminal}, proceedings={Advanced Hybrid Information Processing. 6th EAI International Conference, ADHIP 2022, Changsha, China, September 29-30, 2022, Proceedings, Part II}, proceedings_a={ADHIP PART 2}, year={2023}, month={3}, keywords={Mobile terminal Online music teaching Teaching resources Personalized recommendation Audio materials Information age}, doi={10.1007/978-3-031-28867-8_26} }- Hui Lin
Ying Lin
Hongping Huang
Year: 2023
Personalized Recommendation Method of Online Music Teaching Resources Based on Mobile Terminal
ADHIP PART 2
Springer
DOI: 10.1007/978-3-031-28867-8_26
Abstract
Due to the large number of users of the mobile teaching terminal and the many types of music teaching resources, the recommendation accuracy is low. To this end, this paper proposes a personalized recommendation method for online music teaching resources based on mobile terminals. This paper identifies the characteristics of online music teaching resources, connects the resources through knowledge points, and optimizes the streaming media storage format using mobile terminals. The time continuous signal is converted into discrete time signal, and the user interest model is constructed by collaborative filtering, and the favorite resources of neighbor users are recommended to the current user. The experimental results show that the accuracy of this method is 75.694%, 66.669% and 66.350%, respectively, which shows that the performance of this method is better than the other two methods.
