Journal of Internet Computing and Services (인터넷정보학회논문지)

Korean Society for Internet Information (한국인터넷정보학회)
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Social Network Based Music Recommendation System

소셜네트워크 기반 음악 추천시스템

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

소셜 네트워크를 비롯해 다양한 소셜 미디어 서비스들에서 대량의 멀티미디어 콘텐츠들이 공유되고 있다. 소셜 네트워크에는 사용자의 현재 상황과 관심사가 드러나기 때문에 이러한 특징들을 추천시스템에 적용한다면 만족도가 높은 개인화된 추천이 가능할 것이다. 또한 음악을 감정에 따라 분류하고 사용자의 소셜 네트워크를 분석해 사용자가 최근 느끼고 있는 감정이나 현재 상황에 대해 분석한 정보를 이용한다면 사용자의 음악을 추천할 때에 유용할 것이다. 본 논문에서는 음악을 분류하기 위한 감정 모델을 만들고, 감정모델에 따라 음악을 분류하여 소셜 네트워크에 나타나는 사용자의 현재 감정 상태를 추출하여 음악추천을 하는 방법을 제안하고 실험을 통해 제안한 방법의 유효성을 검증한다.

Keywords

References

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