Browse > Article
http://dx.doi.org/10.5391/JKIIS.2005.15.5.643

Collaborative Filtering Method Using Context of P2P Mobile Agents  

Lee Se-Il (공주대학교 컴퓨터공학과)
Lee Sang-Yong (공주대학교 컴퓨터공학부)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.5, 2005 , pp. 643-648 More about this Journal
Abstract
In order to supply services necessary for users intelligently in the ubiquitous computing, effective filtering of context information is necessary. But studies of context information filtering have not been made much yet. In order for filtering of context information, we can use collaborative filtering being used much at electric commerce, etc. In order to use such collaborative filtering method in the filtering of ubiquitous computing environment, we must solve such problems as first rater problem, sparsity problem, stored data problem and etc. In this study, in order to solve such problems, the researcher proposes the collaborative filtering method using types of context information. And as the result of applying this filtering method to MAUCA, the P2P mobile agent system, the researcher could confirm the average result of 7.7% in the aspect of service supporting function.
Keywords
Collaborative Filtering; Context Awareness; Naive Bayesian;
Citations & Related Records
연도 인용수 순위
  • Reference
1 P.Couder, A..M.kermarrec, 'Improving Level of Service of Mobile User Using ContextAwareness', 18th IEEE Symposium on Reliable Distributed System, pp.24-33, 1999
2 윤효근, 이상용,'협력적 필터일 기법을 이용한 P2P 모바일 에이전트 기반 사용자 컨텍스트 인식 및 서비스 처리구조', 퍼지 및 지능시스템학회 논문지, Vol.15, No.1, pp. 104-109, 2005   DOI   ScienceOn
3 한국정보과학회논문지:소프트웨어및응용*Joumal of KISS:Software and Applications 2004,3 v.031, n.003, pp.332-342 1229-6848
4 Sarwar, B. et al., 'Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System', Proc. ACM CSCW 98, pp.345-345, 1998
5 N.Good, B. Schafer, J.Konstan, A. Borchers, B.Sarwar, J. Riedl, 'Combining Collaborative filtering with personal Agents for Better Recommendation', AAAI/IAAI, pp.439-446, 1999
6 AK.DeY,'Context-Aware Computing.The CyberDesk Project.', Proc. of the AAAI 1998 Spring Symposium on Intelligent Environments(AAAI Technical Report SS-98-02), pp.51-54, Mar 1998
7 M. J. Pazzani, A framework for collaborative, content-based and demographic filtering, Artificial Intelligence Review, pp. 393-408, 1999
8 http:;/www.cs.umn.edu/researchiGroupLens/
9 S.Jang, W.Woo, 'ubi-UCAM:A Unified ContextAware Application Model.', LNAI(Contex03), pp.178-189, 2003
10 D. Salber,AD.Dey and G.D.Abowd,'The Context Toolkit:Aiding the Development of Context-Aware Applications.In the Workshop on Software Engineering for Wearable and Pervasive Computing (Limerick Ireland), Jun 2000
11 http://www.free-definition.com/Naive- Bayesianclassification.html
12 행렬 전치를 이용한 효율적인 NaiveBayes 알고리즘, 정보처리학회논문지,B 제11-B권 제1호, 2004.2
13 선호도 재계산을 위한 연관 사용자 군집 분석과 - Representative Attribute -Neighborhood를 이용한 협력적 필터링 시스템의 성능향상, 정보처리학회논문지, v.10B, n.003, pp.287-296, 2003.6
14 B. M. Sarwar, J. A Konstan, Al Borches, J. Herlocker, B. Miller, andJ. Riev J. Using Filtering Agents to Improve Prediction Quality in the GroupLens Research Collaborative Filtering System, Proceedings of the 1998 Conference on Computer Supported Cooperative Work, 1998