[KSCI] Korea Science Citation Index Service

http://dx.doi.org/10.5391/IJFIS.2010.10.1.019

An Auto Playlist Generation System with One Seed Song

Bang, Sung-Woo (Department of Electrical and Computer Engineering, Sungkyunkwan University)
Jung, Hye-Wuk (Department of Electrical and Computer Engineering, Sungkyunkwan University)
Kim, Jae-Kwang (Department of Electrical and Computer Engineering, Sungkyunkwan University)
Lee, Jee-Hyong (Department of Electrical and Computer Engineering, Sungkyunkwan University)

Publication Information

International Journal of Fuzzy Logic and Intelligent Systems / v.10, no.1, 2010 , pp. 19-24 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 have a tendency to build playlist for manage songs. However the manual selection of songs for creating playlist is a troublesome work. This paper proposes an auto playlist generation system considering user context of use and preferences. This system has two separated systems; 1) the mood and emotion classification system and 2) the music recommendation system. Firstly, users need to choose just one seed song for reflecting their context of use. Then system recommends candidate song list before the current song ends in order to fill up user playlist. User also can remove unsatisfied songs from the recommended song list to adapt the user preference model on the system for the next song list. The generated playlists show well defined mood and emotion of music and provide songs that the preference of the current user is reflected.

Keywords

Playlist generator; Recommendation; Intelligent System; Content-based analysis;

Citations & Related Records

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