Browse > Article
http://dx.doi.org/10.9708/jksci.2014.19.8.083

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

Hong, Min-Sung (Dept. of Computer Science, Dankook University)
Lee, O-Joun (Dept. of Software Science, Dankook University)
Lee, Won-Jin (Institute of Media Contents, Dankook University)
Lee, Jae-Dong (Dept. of Software Science, Dankook University)
Publication Information
Journal of the Korea Society of Computer and Information / v.19, no.8, 2014 , pp. 83-93 More about this Journal
Abstract
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.
Keywords
Wellness; Content; Recommendation; Meta-data; IT Convergence;
Citations & Related Records
Times Cited By KSCI : 9  (Citation Analysis)
연도 인용수 순위
1 C. Corbin, G. Welk, W. Corbin, and K. Welk, "Concepts of Fitness and Wellness: A Comprehensive Lifestyle Approach," 5th ed. McGraw -Hill, 2004.
2 R&D Information Center, "Current Situation of Technique and Market Tendency of Bio Medical Devices Convergence Industry," 2012.
3 J.Y. Choi, Y.S. Go, S.C. Choi, C.G. Kang, and W.S. Choi, "Health-Care 3.0," CEO information, Journal of SERI, 2011.
4 S.H. Park, D.G. Jang, "IT Convergence Trends in Wellness," Journal of KIISE, special manuscript I, 2013.
5 UM Medicine HALL HEALTH CENTER Wellness Wheel, http://depts.washington.edu/hhpccweb/content/clinics/health-promotion/wellness-wheel
6 Bill Hettler's Wellness Wheel, http://recsports.tamucc.edu/fitness_and_wellness/wellness_wheel.html
7 TMCC Wellness Wheel, http://www.tmcc.edu/fitness/wellfit-lifestyles-program/
8 D.J. Kim, I.G. Kim, Y.S. O, and Y.J. Sin, "Development of Web-Based Personal Exercise Prescription System for Health Management," Official Journal of the Korean Association of Certified Exercise Profession -als, Vol. 12, No. 1, pp. 73-82, 2010.
9 J.H. Won, J.W. Lee, and H.M. Park, "A Tag Clustering and Recommendation Method for Photo Categorization," Journal of Korean Society for Internet Information, Vol. 14, No. 2, pp, 1-13, 2013.
10 E.S. You, and S.B. Park, "Story-based Information Retrieval," Journal of Intelligence and Information Systems, Vol.19, No.4, pp. 81-96, 2013.   과학기술학회마을   DOI   ScienceOn
11 W.J. Lee, K.W. Kim, K.D. Boo, and J.J. Woo, "A Study on the Adoption of NAC for Guaranteeing Reliability of u-Campus Network," Journal of Korean Institute of Information Technology, Vol.7, No.4, pp. 252-258, 2009.
12 O.J. Lee, and Y.T. Baek, "Hybrid Preference Prediction Technique Using Weighting based Data Reliability for Collaborative Filtering Recommendation System," Journal of Korean Society of Computer Information, Vol.19, No.5, pp. 61-69, 2014.
13 H.T. Choi, and S.B. Cho, "A Collaborative Filtering Recommendation System using ConceptNet-based Mood Classification by Genre," The Juornal of The Korea Computer Congress, Vol. 38, No. 1. 2011, pp. 216-219.
14 S.K. Kim, and Y.H. Kim, "Design and Evaluation of learing Method Recommendation System using Item-Based Pattern", Journal of The Korea Contents Association, Vol. 9, No. 5, pp. 346-354, 2009.
15 K.Y. Jung, and W.S. Ha, "Recommendation System using Associatibe Web Document Classification by Word Frequency and $\alpha$-Cut," The Journal of The Korea Contents Association, Vol. 8, No. 1, pp. 28-35, 2007.
16 G. Kovasznai, "Developing an expert system for diet recommendation," 6th IEEE International Symposium on(SACI), pp. 505-509, 2011.
17 E.Y. Jung, B.H. Jeong, E.S. Yoon, D.J. Kim, Y.Y. Park, and D.K. Park, "Personalized diet and exercise management service based on PHR," Journal of The Korea Society of Computer and Information, Vol. 17, No. 9, pp. 113-125, 2012.
18 J.W. Park, and Y.K. Lee, "A Method of Recommending Learning Contents Using Similarity and Difficulty," Journal of The Korea Society of Computer and Information, Vol. 17, No. 7, pp. 127-137, 2011.
19 S.S. Sohail, J. Siddiqui, and R. Ali, "Book Recommen -dation System Using Opinion Mining Technique," IEEE ICACCI, pp. 1609-1614, 2013.
20 Y.Y. Chen, A.U. Cheng, and W.H. Hsu, "Travel Recom -mendation by Mining People Attributes And Travel Group Types From Community- Contributed Photos," Multimedia, IEEE Transactions on, Vol. 15, No. 6, pp. 1283-1295, 2013.   DOI   ScienceOn
21 S.E. Shepstone, Z.-H. T, and S.H. Jensen, "Audio- based Age And Gender Identification to Enhance the Recommendation of TV Content," Journal of IEEE Transactions on Consumer Electronics, Vol. 59, No. 3, pp. 721-729, 2013.   DOI   ScienceOn
22 S.B. Park, and Y.T. Baek "A Study of Story Visualization Based on Variation of Characters Relationship by Time," Journal of the Korea Society of Computer and Information, Vol.18, No.3, pp. 119-126, 2013.   DOI   ScienceOn
23 O.J. Lee, M.S. Hong, W.J. Lee, and J.D. Lee, "Scalable Collaborative Filtering Technique based on Adaptive Clustering," Journal of Korea Inteligent Information System Society, Vol.20, No.2, pp. 73-92, 2014.   과학기술학회마을   DOI   ScienceOn