Music Recommendation System Based on Collaborative Filtering Algorithm
Boyang Yu, Qi Hu, Luoyi Hao, Runxuan Li · 2023
Recommendation Systems (RS) attempt to solve the problem of information overload. The RS may offer suggestions for fresh goods, movies, and music. The music business has used recommendations algorithms to address this issue. Chinese traditional folk music is lacking in the realm of recommendations. This paper uses collaborative filtering algorithm to design a folk music recommendation system on the basis of the existing music recommendation systems. The main interface will display the sorting by heat and release time and the music recommended by users. When users click on a certain music to view the music details, the song name, singer, release time and album name of the music will be displayed, and the functions of playing, collecting, rating and commenting can be realized.