With the rapid development of music recommendation technology,how to improve the accuracy and user satisfaction of music recommendation system has become the focus of research. A music recommendation system combining Mel-Frequency Cepstral Coefficients (MFCC),Long Short-Term Memory (LSTM) network and content recommendation method is studied. The test was carried out by MATLAB platform. The results show that the recommendation system performs well.
关键词
音乐推荐/梅尔频率倒谱系数(MFCC)/长短期记忆(LSTM)/内容推荐
Key words
music recommendation/Mel-Frequency Cepstral Coefficients (MFCC)/Long Short-Term Memory (LSTM)/content recommendation
维普
万方数据