Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation

Hong, Minsung; O-Joun Lee; LEE WON JIN; Jae-Dong Lee

Research into recommendation systems for wellness content has focused on representativeresearch on the convergence of wellness and information technology, as interest in wellness hasrecently increased. But existing research is not suitable because it uses only one or two of the five wellness areas: physical, emotional, social, intellectual, and spiritual. And It cause decline ofreliability and satisfaction for recommendation. Thus, a wellness areal feature analysis andintegration management technique is needed. In this paper, suggest meta-data configuration andfeature analysis technique of content. Also Cosine similarity of wellness areal features of thecontent was analyzed by applying a wellness areal score calculated in this way and by suggestedwellness areal detailed properties and a measurement system to verify the efficiency of thisresearch. This allows the wellness features of contents analyzed, and even will be able topersonalized recommendations service for wellness.

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* 2021년 이후 발행 논문의 참고문헌은 현재 구축 중입니다.

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