標題: Emotion-based music recommendation by affinity discovery from film music
作者: Shan, Man-Kwan
Kuo, Fang-Fei
Chiang, Meng-Fen
Lee, Suh-Yin
資訊工程學系
Department of Computer Science
關鍵字: Music recommendation;Emotion detection;Affinity discovery
公開日期: 1-May-2009
摘要: With the growth of digital music, the development of music recommendation is helpful for users to pick desirable music pieces from a huge repository of music. The existing music recommendation approaches are based on a user's preference on music. However, sometimes, it might better meet users' requirement to recommend music pieces according to emotions. In this paper, we propose a novel framework for emotion-based music recommendation. The core of the recommendation framework is the construction of the music emotion model by affinity discovery from film music, which plays an important role in conveying emotions in film. We investigate the music feature extraction and propose the Music Affinity Graph and Music Affinity Graph-Plus algorithms for the construction of music emotion model. Experimental result shows the proposed emotion-based music recommendation achieves 85% accuracy in average. (C) 2008 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.eswa.2008.09.042
http://hdl.handle.net/11536/10010
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2008.09.042
期刊: EXPERT SYSTEMS WITH APPLICATIONS
Volume: 36
Issue: 4
起始頁: 7666
結束頁: 7674
Appears in Collections:Conferences Paper


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