International Journal of Fuzzy Logic and Intelligent Systems

  • 제8권4호
  • /
  • Pages.270-275
  • /
  • 2008
  • /
  • 1598-2645(pISSN)
  • /
  • 2093-744X(eISSN)
한국지능시스템학회 (Korean Institute of Intelligent Systems)
권호 표지
DOI QR코드

DOI QR Code

Integration of User Profiles and Real-time Context Information Reflecting Time-based Changes for the Recommendation System

  • Lee, Se-Il (Dept. of Computer Engineering, Kongju National University) ;
  • Lee, Sang-Yong (Division of Computer Science & Engineering, Kongju National University)
  • 발행 : 2008.12.01
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

Under ubiquitous environment, recommendation system is using the collaborative filtering methods by quantifying context information, but insufficient context information can cause inaccurate recommendation result. In order to solve such problems, the researcher used context information and user's profile. But service history information in users' profiles can have the problems of being influenced by change of the user's taste or fashion as time passes by. In addition, context information and user's profile can't be properly inter-locked according to situation, which can cause inaccurate predictability. In this paper, in case a user's taste or fashion is changed as time passes by, the researcher didn't apply bundled-up value to the user's profile but applied different weight according to change of time. And the researcher could solve the problem that context information and a user's profile can't be properly inter-locked according to situation by applying different weight to the result gained by means of collaborative filtering and then by unifying it. In such ways, the researcher could improve predictability.

키워드

참고문헌

  1. J. M. Hellerstein, W. Hong and S. R. Madden, The Sensor Spectrum: Technology, Trends, and Requirements. ACM SIGMOD Record, Vol.32, No.4, pp.22-27, 2003 https://doi.org/10.1145/959060.959065
  2. Se-Il Lee, Sang-Yong Lee, 'Collaborative Filtering using User Profiles Information and Real-Time Context Information', Korea Fuzzy Logic and Intelligent Systems Society, vol.16, No.1, pp.336-339, 2006
  3. Kee-Hyeun Lee, Byeong-Jin Go, Keoun-Sik Cho, 'Recommendation System using Association Rule', Korean Intelligent Information Systems Society, Vol.8, No.2, pp. 91-103, 2002
  4. Kyung-Yong Jung, Joong-Kyung Ryu, Kang-Un Gu, Jung-Hyun Lee, 'Harmonic Mean Weight by Combining Content Based Filtering and collaborative Filtering in a Recommender System ', Korean Institude of Information Scientists and Engineering, Vol.30, No.3, pp. 239-250, 2003.4
  5. Byeong-Man Kim, Qing Li, Chang-Seok Park, Si-Gwan Kim, Ju-Yeon Kim, 'A Collaborative Filtering Approach using User Profile', Korean Institute of Information Scientists and Engineering, Vol.29, No.2, pp. 286-289, 2002
  6. D. Billsus and M. J. Pazzani, 'Learning collaborative information filters', In Proceedings of the International Conference on Machine Learning, pp. 46-54, 1998
  7. P. Resnick, et. al., 'GroupLens: An Open Architecture for Collaborative Filtering of Netnews', 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', Proc. of the 14th Conference on Uncertainly in Artificial Intelligence, pp.43-52, 1998
  9. Hyo-Gu'n Yoon, 'A Multi-Agent System in Mobile P2P Environment for Context Awareness and Service Support in Real-time', The degree of Doctor of Philosophy, Kongju National University, 2006
  10. Dey, A.K., et al. 'A conceptual Framework and a Toolkit for Supporting the Rapid Prototyping of Context-Aware Applications' anchor article of a special issue on Context- Aware Computing, Human-Computer Interaction(HCI) Journal, Vol.16, pp. 97-166, 2001 https://doi.org/10.1207/S15327051HCI16234_02
  11. Hofer, T. Schwinger, W., Pichler, M. and Leonhartsberger, G., 'Context-Awareness on mobile devices, the Hydrogen approach', In Proceedings of the 36th International Hawaii International Conference on System Sciences, pp.292-301, 2002
  12. Chen, Harry, Tim Finin, and Anupam Joshi. 'An Intelligent Broker for Context-Aware Systems.', Adjunct Proceedings of Ubicomp 2003, Seattle, Washington, USA, October 12-15, 2003
  13. B. N. Schilit, N. Adams, and R. Want, 'Context-Aware Computing Applications', Proceedings of the Workshop on Mobile Computing System and Applications, pp. 85-90, 1994
  14. Giunchiglia, F., 'Contextual Reasoning', Epistemologica- Special Issue on I Linguaggi e le Macchine 16, 1993
  15. Bauer, J., 'Identification and Modeling of Context for Different Information Scenarios in Air Traffic', Diplomarbeit, 2003
  16. T. Gu, H. K. Pung, D. Q. Zhang. Towards an OSGi-Based Infrastructure for Context-Aware Applications in Smart Homes. IEEE Pervasive Computing, Vol. 3, Issue 4, pp.66-74, 2004
  17. A.K.Dey and G.D.Abowd, 'Towards a Better Understanding of Context and Context- Awareness', GVU Technical Report GIT-GVU -99-22. Submitted to the 1st International Symposium on Handheld and Ubiquitous Computing (HUC '99), June, pp.304-307 1999
  18. Chen, H. An Intelligent Broker Architecture for Pervasive Context-Aware Systems. Ph.D. Thesis, University of Maryland, Baltimore County, 2004
  19. Jong-Won Kim, 'Automatic Determination of Usenet News Groups from User Profile', Korea Fuzzy Logic and Intelligent Systems Society, vol.14, No.2, pp.142-149, 2004