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http://dx.doi.org/10.9723/jksiis.2019.24.1.013

Analysis of Mood Tags For Music Recommendation  

Moon, Chang Bae (금오공과대학교 ICT융합특성화연구센터)
Lee, Jong Yeol (금오공과대학교 컴퓨터소프트웨어공학과)
Kim, Dong-Seong (금오공과대학교 IT 융복합공학과)
Kim, Byeong Man (금오공과대학교 컴퓨터소프트웨어공학과)
Publication Information
Journal of Korea Society of Industrial Information Systems / v.24, no.1, 2019 , pp. 13-21 More about this Journal
Abstract
The tendency of buyers of web information is changing from the cost-effectiveness which emphasizes the performance over the price to the cost-satisfaction which emphasizes the psychological satisfaction of the buyer. In music recommendation, one of the methods to increase psychological satisfaction is to use the music mood. In this paper, a music recommendation method considering the mood tag and the synonyms tag is proposed and, as an intermediate result of the proposed method, mood tags and music pieces are expressed in Thayer's AV space and then their distribution are analyzed. The analysis result shows the distributions of mood tags and the ones of music pieces are similar, which implies that the proposed recommendation method can provide significant results. In the future, the music recommendation performance will be analyzed.
Keywords
Cost-Satisfaction; Music Mood; Music Recommendation; Mood Tag;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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