Browse > Article
http://dx.doi.org/10.9708/jksci.2012.17.8.081

Semantics Environment for U-health Service driven Naive Bayesian Filtering for Personalized Service Recommendation Method in Digital TV  

Kim, Jae-Kwon (Dept. of Computer Science & Information Engineering, Inha University)
Lee, Young-Ho (College of IT, Gachon University)
Kim, Jong-Hun (Bit Computer Co.)
Park, Dong-Kyun (u-Healthcare Center, Gachon University Gil Hospital)
Kang, Un-Gu (College of IT, Gachon University)
Publication Information
Journal of the Korea Society of Computer and Information / v.17, no.8, 2012 , pp. 81-90 More about this Journal
Abstract
For digital TV, the recommendation of u-health personalized service of semantic environment should be done after evaluating individual physical condition, illness and health condition. The existing recommendation method of u-health personalized service of semantic environment had low user satisfaction because its recommendation was dependent on ontology for analyzing significance. We propose the personalized service recommendation method based on Naive Bayesian Classifier for u-health service of semantic environment in digital TV. In accordance with the proposed method, the condition data is inferred by using ontology, and the transaction is saved. By applying naive bayesian classifier that uses preference information, the service is provided after inferring based on user preference information and transaction formed from ontology. The service inferred based on naive bayesian classifier shows higher precision and recall ratio of the contents recommendation rather than the existing method.
Keywords
Digital TV; U-health Service; Personalized Service Recommend; Naive Bayesian Filtering;
Citations & Related Records
Times Cited By KSCI : 4  (Citation Analysis)
연도 인용수 순위
1 ACSM's Resource Manual for Guideline for Exercise Testing and Prescription Six Editon, 2010.
2 Community Health Survey, http://chs.cdc.go.kr
3 Myoung-hwan Ahn, and Joon-hee Kwon, "Ontology based Context-Aware Recommendation System using Concept Hierarchy", Journal of Korean Society for Internet Information, Vol. 8, No. 5. pp. 81-89, July 2007.   과학기술학회마을
4 Stuart Russell, "Artificial Intelligence : A Modern Approach(3rd Edition, Paperbak)", Pearson Education, 2010.
5 Welltizen, http://www.weltizen.com
6 Bit Computer co., http://www.bit.kr
7 P. Resnick, et. al., "GroupLens: An Open Architecture for Collaborative Filtering of Netnews", In Proc. of ACM CSCW'94 Conference on Computer Supported Cooperative Work, pp.175-186, 1994.
8 J. S. Breese and D. Heckerman and C. Kadie, "Empirical Analysis of Predictive Algorithms for Collaborative Filtering", In Proc. of the 14th Conference on Uncertainty in Artificial Intelligence, 1998.
9 Chae-Soo Eun, Dong-Ju Cho, Kyung-Yong Jung, and Jung-Hyun Lee, "Development of Apparel Coordination System Using Personalized Preference on Semantic Web", Journal of Korean Institute of Information Technology, Vol. 7, No. 4, pp. 66-73, April 2007.   과학기술학회마을   DOI
10 Owl Web Ontology Language Over View, http://www.w3.org
11 Joong-Kyung Ryu, Jong-Hun Kim, Jae-Kwon Kim, Jung-Hyun Lee, and Kyung-Yong Chung, "Context-aware based U-health Environment Information Service", Journal of Korean Institute of Information Technology, Vol. 11, No. 7, pp. 21-29, April 2011   과학기술학회마을   DOI   ScienceOn
12 Hong-Jin Cho, and Sang-Min Bae, "Improving Digital TV boot-up time", 38th Conference on KIISE, Vol. 32, No. 2(A), pp. 165-167, South Korea, Seoul, November 2011.
13 Dong-Kyun Park, Jong-Hun Kim, Jae-Kwon Kim, Eun-Young Jung, and Young-Ho Lee, "U-Health Service Model for Managing Health of Chronic Patients in Multi-platform Environment", Journal of The Korea Contents Association, Vol. 11, No. 8, pp. 23-32, August 2011.   과학기술학회마을   DOI   ScienceOn
14 Byung-Mun Lee, Jaekwon Kim, JongHun Kim, Youngho Lee, and Un-Gu Kang, "A Customized Exercise Service Model based on the Context-Awareness in u-Health Service", Journal of Korean Institute of Information Technology, Vol. 9, No. 2, pp. 141-152, January 2011.
15 J. H. Kim, D. S. Lee and K. Y. Chung, "Context-Aware Based Item Recommendation for Personalized Service", ICISA International Conference on Information Science and Applications, pp.1-6, 2011.
16 J. Ben Schafer, Dan Frankowski, Jon Herlocker and Shilad Sen, "Collaborative filtering recommender systems", Lecture Notes In Computer Science, pp.291-324, 2007.
17 K. Jung, Y. Na ,and J. Lee, "FDRAS: Fashion Design Recommender Agent System Using the Extraction of Representative Sensibility and the Two-Way Combined Filtering on Textile", Lecture Notes in Computer Science, pp.631-640, 2003.
18 Pang Ning Tan., Michel Steinbach, Vinpin Kumar, Introduction to Data Mining, Addison Wesley, 2007.