Leveraging proficiency and preference for online Karaoke recommendation

Ming He
Ming He
Hao Guo
Hao Guo
Guangyi Lv
Guangyi Lv
Haiping Ma
Haiping Ma

Frontiers of Computer Science, pp. 273-290, 2020.

Cited by: 0|Bibtex|Views54|DOI:https://doi.org/10.1007/s11704-018-7072-6
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Other Links: link.springer.com|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Recently, many online Karaoke (KTV) platforms have been released, where music lovers sing songs on these platforms. In the meantime, the system automatically evaluates user proficiency according to their singing behavior. Recommending approximate songs to users can initialize singers’ participation and improve users’ loyalty to these plat...More

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