Music Recommendation System based on Fusion Deep Learning Models
Yuchen Dong, Xiaotong Guo, Yuchen Gu · Journal of Physics Conference Series · 2020
Abstract With the growth of user popularity of online music platforms, the amount of music data and the demands on accurate recommendation system for music also increases. Therefore, an accurate and efficient recommendation system is urgently needed. In this paper, a music recommendation system based on fusion deep learning models is proposed. Both of the audio information and lyrics data are originally exploited. A supervised training method is applied to train this model with annotated data. In this paper, the result of the test dataset shows that the proposed model can achieve more than 90% accuracy performance on average.