Improving Content-based and Hybrid Music Recommendation using Deep Learning

Existing content-based music recommendation systems typically employ a \textit{two-stage} approach. They first extract traditional audio content features such as Mel-frequency cepstral coefficients and then predict user preferences. However, these traditional features, originally not created for music recommendation, cannot capture all relevant information… CONTINUE READING

9 Figures & Tables


Citations per Year

106 Citations

Semantic Scholar estimates that this publication has 106 citations based on the available data.

See our FAQ for additional information.