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http://dx.doi.org/10.5391/JKIIS.2010.20.3.337

A Playlist Generation System based on Musical Preferences  

Bang, Sun-Woo (성균관대학교 전자전기컴퓨터공학과)
Kim, Tae-Yeon (성균관대학교 전자전기컴퓨터공학과)
Jung, Hye-Wuk (성균관대학교 전자전기컴퓨터공학과)
Lee, Jee-Hyong (성균관대학교 전자전기컴퓨터공학과)
Kim, Yong-Se (성균관대학교 기계공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.20, no.3, 2010 , pp. 337-342 More about this Journal
Abstract
The rise of music resources has led to a parallel rise in the need to manage thousands of songs on user devices. So users are tend to build play-list for manage songs. However the manual selection of songs for creating play-list is bothersome task. This paper proposes an auto play-list recommendation system considering user's context of use and preference. This system has two separate systems: mood and emotion classification system and music recommendation system. Users need to choose just one seed song for reflection their context of use and preference. The system recommends songs before the current song ends in order to fill up user play-list. User also can remove unsatisfied songs from recommended song list to adapt user preferences of the system for the next recommendation precess. The generated play-lists show well defined mood and emotion of music and provide songs that user preferences are reflected.
Keywords
Music recommendation; Musical mood and emotion; Play-list generator; Intelligent system; Content-based analysis;
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