The Journal of Society for e-Business Studies (한국전자거래학회지)

Society for e-Business Studies (한국전자거래학회)
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Implementation of Social Network Services for Providing Personalized Nutritious Information on Facebook

개인화 영양정보 제공을 위한 소셜 네트워크 서비스 활용방안

  • An, Hyojin (Department of Biomedical Engineering, Yonsei University) ;
  • Choi, Jaewon (Department of Business Administration, Soonchunhyang University)
  • Received : 2014.07.04
  • Accepted : 2014.09.21
  • Published : 2014.11.30
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Abstract

Personalized data of users at social network service can be used as a new resource for providing personalized nutrition information. Although providing personalized information for nutrition using social data, there are a few studies on providing personalized nutrition information with customized user preference based on social network service. The purpose of this study is to implement the clustering of data analysis with collected personal data of Facebook users. To find out the method for providing personalized information, this study described an effective method for providing nutrition information by analyzing web posting on Facebook that can be called a typical social network service. According to the result from clustering, sodium and sugars were important variables from diet of user. Furthermore, the importance of elements of user's diet has some differences according to vendor/manufactures.

소셜 네트워크 서비스 사용자의 개인 데이터를 활용하는 것은 개인화된 영양정보의 제공을 위한 새로운 자원으로서 활용 가능하다. 기존 영양정보 제공 방식과 비교하여 사용자가 입력한 소셜 네트워크 서비스의 기록을 바탕으로 맞춤화된 정보를 제공하는 방법 및 개인화된 영양정보를 어떻게 제공할 것인지에 대한 연구는 매우 부족한 실정이다. 본 연구는 대표적인 소셜 네트워크 서비스인 페이스북의 사용자들이 입력한 텍스트 데이터를 바탕으로 개인화된 영양정보를 제공하기 위한 방안을 확인하고자 하였다. 이를 위하여 사용자의 페이스북 게시정보를 분석하여 개인별 영양정보를 효과적으로 제공하는 방식을 제시하였다. 연구의 목적에 따라, 본 연구는 수집된 데이터를 이용하여 데이터마이닝 기법 중 군집화를 수행하였다. 사용자 데이터에 대한 군집분석 결과, 나트륨과 당류가 사용자의 식단에서 중요한 변수로 추출되었다. 추가적으로 판매원/제조원에 따라 사용자의 식단과 관련하여 변수의 중요도에 차이가 있음을 확인하였다.

Keywords

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