Taesoo Park, Ok-Ran Jeong, Journal of Internet Computing and Services, Vol. 16, No. 6, pp. 133-0, Dec. 2015
10.7472/jksii.2015.16.6.133, Full Text:
Keywords: Emotion Model, Personalization, Multimedia Contents, Social Network, Music Recommendation

Abstract

Mass multimedia contents are shared through various social media servies including social network service. As social network reveals user's current situation and interest, highly satisfactory personalized recommendation can be made when such features are applied to the recommendation system. In addition, classifying the music by emotion and using analyzed information about user's recent emotion or current situation by analyzing user's social network, it will be useful upon recommending music to the user. In this paper, we propose a music recommendation method that makes an emotion model to classify the music, classifies the music according to the emotion model, and extracts user's current emotional state represented on the social network to recommend music, and evaluates the validity of our method through experiments.

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