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http://dx.doi.org/10.9708/jksci.2011.16.9.019

Personalized Recommendation based on Context-Aware for Resource Sharing in Ubiquitous Environments  

Park, Jong-Hyun (Dept. of Computer Engineering, Chungnam National University)
Kang, Ji-Hoon (Dept. of Computer Engineering, Chungnam National University)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.9, 2011 , pp. 19-26 More about this Journal
Abstract
Users want to receive customized service using users' personal device. To fulfill this requirement, the mobile device has to support a lot of functions. However, the mobile device has limitations such as tiny display screens. To solve this limitation problem and provide customized service to users, this paper proposes the environment to provide services by sharing resources and the method to recommend user-suitable resources among sharable resources. For the resource recommendation, This paper analyzes user's behavior pattern from usage history and proposes the method for recommending customized resources. This paper also shows that the approach is reasonable one for resource recommendation through the satisfaction evaluation.
Keywords
Personalized Recommendation; Resource Sharing; Recommender System; Resource Reasoning;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
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1 S. H. Ha, "Digital content recommender on the Int ernet.16 13823 abstract", IEEE Intelligent Systems, Vol.21, No.2, pp.70-77, March 2006.   DOI   ScienceOn
2 Inay Ha, G. S. Song, H. N. Kim, and G. S. Jo, "Collaborative Recommendation of Online Video Lectures in e-Learn ing System", Journal of The Korea Society of Computer and Information, Vol. 14, No. 9, pp. 85-94, September 2009.
3 G. Adomavicius, and A. Tuzhilin, "Toward the next genera tion of recommender systems: a survey of the state-of-th e-art and possible extensions", IEEE Trans. on Knowledge and Data Engineering, Vol. 17, No. 6, pp.734-749, June 2005.   DOI   ScienceOn
4 S. K. Lee, "A Music Recommender System for m-CRM: Collaborative Filtering using Web Mining and Ordinal Scale", Journal of The Korea Society of Computer and Information, Vol. 13, No. 1, pp. 45-54, January 2008.
5 A. Schmidt, "Ubiquitous Computing: Are We There Yet?", Computer Vol.43, No.2, pp.95-97, February 2010.
6 W3C RDF Primer, Recommendation 10 Feb. 2004, http://www.w3.org/TR/2004/REC-rdf-primer-20040210/
7 SPARQL Query Language for RDF, W3C Recommendation 15 January 2008,
8 MC Lee, HK Jang, YS Paik, SE Jin and S Lee, "Device Coll aboration Framework in Ubiquitous Environment: Celadon", Proc. of SEUS-WCCIA'06, Gyeongju, Korea, April 2006.
9 J.-H. Park, W.-I. Park, Y.-K. Kim and J.-H. Kang, "A Customized Device Recommender System based on Context-Aware in Ubiquitous Environments" Journal of The Institute of Electronics Engineers of Korea, Vol. 46, CI, No. 3, pp.15-23, May 2009.
10 Marston, William Moulton, "Emotions Of Normal People", Kegan Paul Trench Trubner And Company, 1928.
11 J.-H. Park and J.-H. Kang, "Resource collaboration system based on dynamic user preference and context", Artificial Intelligence Review, Vol.34, No.3, pp.217-287, October 2010.