Social Network Based Music Recommendation System

소셜네트워크 기반 음악 추천시스템

  • Received : 2015.09.24
  • Accepted : 2015.10.22
  • Published : 2015.12.31


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.


Emotion Model;Personalization;Multimedia Contents;Social Network;Music Recommendation


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Supported by : 한국연구재단