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Personalized Dietary Nutrition Contents Recommendation using Hybrid Filtering for Managing Health

건강관리를 위한 혼합 필터링을 이용한 개인화 식이영양 콘텐츠 추천

  • 정경용 (상지대학교 컴퓨터정보공학부) ;
  • 이영호 (가천의과학대학교 의료공학부)
  • Received : 2011.05.04
  • Accepted : 2011.06.16
  • Published : 2011.11.28

Abstract

With the development of next IT convergence technology and the construction of infrastructure for personalized healthcare services, the importance of services based on user's preference is being spotlighted. Healthcare service have been progressed as treatment and management for specific diseases and dietary nutrition managements to customers according to the increase in chronic patients. In this paper, we proposed the personalized dietary nutrition contents recommendation using the hybrid filtering for managing health. The proposed method uses the hybrid filtering through combining the collaborative filtering and the image filtering in order to reinforce the special trend that recommendation provides similar contents. We developed the Web application for this purpose, and experimented with it to verify the logical validity and effectiveness. Accordingly, the satisfaction and the quality of services will be improved the healthcare by recommending the dietary nutrition contents. This evaluation found that the difference of satisfaction by service was statistically meaningful and showed high satisfaction.

Keywords

Preference;Nutrition Contents;Recommendation;Simulation;Collaborative Filtering;Chronic Patient

Acknowledgement

Supported by : 한국연구재단

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