An Implementation of a Classification and Recommendation Method for a Music Player Using Customized Emotion


KIPS Transactions on Software and Data Engineering, Vol. 4, No. 4, pp. 195-200, Apr. 2015
10.3745/KTSDE.2015.4.4.195, Full Text:

Abstract

Recently, most people use android based smartphones and we can find music players in any smartphones. However, it``s hard to find a personalized music player which applies user``s preference. In this paper, we propose an emotion-based music player, which analyses and classifies the music with user``s emotion, recommends the music, applies the user``s preference, and visualizes the music by color. Through the proposed music player, user could be able to select musics easily and use an optimized application.


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Cite this article
[IEEE Style]
Y. J. Song, S. Y. Kang, S. Y. Ihm and Y. H. Park, "An Implementation of a Classification and Recommendation Method for a Music Player Using Customized Emotion," KIPS Transactions on Software and Data Engineering, vol. 4, no. 4, pp. 195-200, 2015. DOI: 10.3745/KTSDE.2015.4.4.195.

[ACM Style]
Yu Jeong Song, Su Yeon Kang, Sun Young Ihm, and Young Ho Park. 2015. An Implementation of a Classification and Recommendation Method for a Music Player Using Customized Emotion. KIPS Transactions on Software and Data Engineering, 4, 4, (2015), 195-200. DOI: 10.3745/KTSDE.2015.4.4.195.