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Social Network Based Music Recommendation System
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 Title & Authors
Social Network Based Music Recommendation System
Park, Taesoo; Jeong, Ok-Ran;
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 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.
 Keywords
Emotion Model;Personalization;Multimedia Contents;Social Network;Music Recommendation;
 Language
Korean
 Cited by
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