A Kernel Framework for Content-Based Artist Recommendation System in Music

Abstract

This paper proposes a content-based artist recommendation framework which learns relationships between users' preference and music contents through ordinal regression. In particular, an artist is characterized by the parameters of its corresponding acoustical model which is adapted from a universal background model. These artist-specific acoustic features… (More)
DOI: 10.1109/TMM.2011.2166380

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@article{Chen2011AKF, title={A Kernel Framework for Content-Based Artist Recommendation System in Music}, author={Zhi-Sheng Chen and Jyh-Shing Roger Jang and Chin-Hui Lee}, journal={IEEE Transactions on Multimedia}, year={2011}, volume={13}, pages={1371-1380} }