ABSTRACT
With the growth of digital music, the development of music recommendation is helpful for users. The existing recommendation approaches are based on the users' preference on music. However, sometimes, recommending music according to the emotion is needed. In this paper, we propose a novel model for emotion-based music recommendation, which is based on the association discovery from film music. We investigated the music feature extraction and modified the affinity graph for association discovery between emotions and music features. Experimental result shows that the proposed approach achieves 85% accuracy in average.
- Chai, W. and Vercoe, B. Using User Models in Music Information Retrieval Systems. In Proc. of Intl. Symposium on Music Information Retrieval (ISMIR'00), 2000.Google Scholar
- Chen, H. C. and Chen, A. L. P. A Music Recommendation System Based on Music Data Grouping and User Interests. In Proc. of ACM Intl. Conference on Information and Knowledge Management (CIKM'01), 2001. Google ScholarDigital Library
- Gabrielsson, A. and Lindstrom, E. The Influence of Musical Structure on Emotional Expression. In Music and Emotion: Theory and Research. Oxford University Press, 2001.Google ScholarCross Ref
- Giannetti, L. Understanding Movies. Prentice Hall, 2004.Google Scholar
- Kalinak, K. Settling the Score. Madison, WI. University of Wisconsin Press, 1992.Google Scholar
- Kuo, F. F. and Shan, M. K., A Personalized Music Filtering System Based on Melody Style Classification, In Proc. of IEEE Intl. Conference on Data Mining (ICDM'02), 2002. Google ScholarDigital Library
- Ortony, A., Clore, G. L., and Collins, A. The Cognitive Structure of Emotions. Cambridge University Press, 1988.Google ScholarCross Ref
- Pan, J. Y., Yang, H. J., Faloutsos, C. and, Duygulu, P. Automatic Multimedia Cross-modal Correlation Discovery. In Proc. of ACM Intl. Conference on Knowledge Discovery and Data Mining (KDD'04), 2004. Google ScholarDigital Library
- Reilly, W. S. N. Believable Social and Emotion Agents. Ph.D. Dissertation, Carnegie Mellon University, 1996.Google Scholar
- Salway, A., and Graham, M. Extracting Information about Emotions in Films. In Proc. of ACM Multimedia Conference (MM'03), 2003. Google ScholarDigital Library
- Shardanand, U. and Maes, P. "Social Information Filtering: Algorithms for Automating 'Word of Mouth'," In Proc. of the Conference on Human Factors in Computing Systems, 1995. Google ScholarDigital Library
- Wei, C. Y., Dimitrova, N., and Chang, S. F. Color-Mood Analysis of Films Based on Syntactic and Psychological Models. In Proc. of IEEE Intl. Conference on Multimedia and Expo (ICME'04), 2004.Google Scholar
Index Terms
- Emotion-based music recommendation by association discovery from film music
Recommendations
Emotion-based music recommendation by affinity discovery from film music
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. ...
A music recommendation system based on music and user grouping
Special issue: Intelligent multimedia applicationsIn this paper, we present a music recommendation system, which provides a personalized service of music recommendation. The polyphonic music objects of MIDI format are first analyzed for deriving information for music grouping. For this purpose, the ...
Real-world mood-based music recommendation
AIRS'08: Proceedings of the 4th Asia information retrieval conference on Information retrieval technologyWe present a music recommendation system that incorporates both collaborative filtering and mood-based recommendations. The benefits of incorporating mood-based recommendations over both content/genre-based and collaborative filtering-based ...
Comments