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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@article{ART001903186}, author={Hong, Minsung and O-Joun Lee and LEE WON JIN and Jae-Dong Lee}, title={Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation}, journal={Journal of The Korea Society of Computer and Information}, issn={1598-849X}, year={2014}, volume={19}, number={8}, pages={83-93}
TY - JOUR AU - Hong, Minsung AU - O-Joun Lee AU - LEE WON JIN AU - Jae-Dong Lee TI - Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation JO - Journal of The Korea Society of Computer and Information PY - 2014 VL - 19 IS - 8 PB - The Korean Society Of Computer And Information SP - 83 EP - 93 SN - 1598-849X AB - 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. KW - Wellness;Content;Recommendation;Meta-data;IT Convergence DO - UR - ER -
Hong, Minsung, O-Joun Lee, LEE WON JIN and Jae-Dong Lee. (2014). Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation. Journal of The Korea Society of Computer and Information, 19(8), 83-93.
Hong, Minsung, O-Joun Lee, LEE WON JIN and Jae-Dong Lee. 2014, "Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation", Journal of The Korea Society of Computer and Information, vol.19, no.8 pp.83-93.
Hong, Minsung, O-Joun Lee, LEE WON JIN, Jae-Dong Lee "Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation" Journal of The Korea Society of Computer and Information 19.8 pp.83-93 (2014) : 83.
Hong, Minsung, O-Joun Lee, LEE WON JIN, Jae-Dong Lee. Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation. 2014; 19(8), 83-93.
Hong, Minsung, O-Joun Lee, LEE WON JIN and Jae-Dong Lee. "Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation" Journal of The Korea Society of Computer and Information 19, no.8 (2014) : 83-93.
Hong, Minsung; O-Joun Lee; LEE WON JIN; Jae-Dong Lee. Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation. Journal of The Korea Society of Computer and Information, 19(8), 83-93.
Hong, Minsung; O-Joun Lee; LEE WON JIN; Jae-Dong Lee. Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation. Journal of The Korea Society of Computer and Information. 2014; 19(8) 83-93.
Hong, Minsung, O-Joun Lee, LEE WON JIN, Jae-Dong Lee. Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation. 2014; 19(8), 83-93.
Hong, Minsung, O-Joun Lee, LEE WON JIN and Jae-Dong Lee. "Meta-data Configuration and Wellness Feature Analysis Technique for Wellness Content Recommendation" Journal of The Korea Society of Computer and Information 19, no.8 (2014) : 83-93.