Design and Implementation of Personalized Music Recommendation System Based on Knowledge Graph
This paper designs a personalized music recommendation system based on knowledge graph technology.The system consists of client,management,server and database.After the user completes the registration and login to the system,the corresponding songs and playlists can be retrieved by entering keywords and other ways,and the administrator can view and edit the user information.When the user logs in to the system again,the system will accurately push personalized songs and playlists to the user according to the previous user's operation behavior,and display them on the homepage of the website.From the test situation,the basic functions of the system such as music recommendation,song search,song collection can be realized,the average response time of each operation of the system is less than 1s,and the use experience is good.
knowledge graphpersonalized music recommendation systemdatabaseresponse time
万方数据
维普
