HIGHLIGHTS
- who: Tuntun Wang and collaborators from the School of Computer and Information, Qiannan Normal University for Nationalities, Duyun, China have published the paper: Music Recommendation Based on u201cUser-Points-Musicu201d Cascade Model and Time Attenuation Analysis, in the Journal: Electronics 2022, 11, x FOR PEER REVIEW of /2022/
- what: The authors develop a music clustering model to extract the interest points for a music recommendation system, ignoring if the length of the music list consumed is short or not, with no need to set the number of clusters in advance. The authors propose a music . . .
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