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Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation
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웰니스 콘텐츠 추천을 위한 메타데이터 구성 및 웰니스 특성 분석 기법

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Type
Academic journal
Author
Journal
The Korean Society Of Computer And Information Journal of the Korea Society of Computer and Information Vol.19 No.8 KCI Accredited Journals
Published
2014.8
Pages
83 - 93 (11page)

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Method
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Result
Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation
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Research into recommendation systems for wellness content has focused on representative research on the convergence of wellness and information technology, as interest in wellness has recently 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 of reliability and satisfaction for recommendation. Thus, a wellness areal feature analysis and integration management technique is needed. In this paper, suggest meta-data configuration and feature analysis technique of content. Also Cosine similarity of wellness areal features of the content was analyzed by applying a wellness areal score calculated in this way and by suggested wellness areal detailed properties and a measurement system to verify the efficiency of this research. This allows the wellness features of contents analyzed, and even will be able to personalized recommendations service for wellness.

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