Abstract
Ubiquitous computing is a vision of future in which a computing technology becomes pervasive. One of the most important attributes in ubiquitous computing is context- awareness. The application that the user’s contexts are changed continuously over time normally requires a just-in-time recommendation. This paper describes a new just-in-time recommendation method using multi-agents for context-awareness in ubiquitous computing environment. For the just-in-time recommendation, we locally store the recommendation information that the user is likely to need in the near future based on predictions. To predict the information that be expected to be needed by the user, we use data mining methods. We propose a JITR Server Context Agent and a JITR Client Context Agent. They make the just-in-time recommendation continuously with the change of user’s contexts and solve the limitation of storage. We explain our method with an example. Several experiments are performed and the experimental results show that our method has a good recommendation performance.
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References
Borgelt, C.: Apriori: Association Rule Induction, http://fuzzy.cs.uni-magdeburg.de/~borgelt/software.html
Chen, G., Kotz, D.: A Surveys of Context-Aware Mobile Computing Research, Dartmouth Computer Science Technical-Report TR2000-381
Cheverst, K., Mitchell, K., Davies, N.: The role of adaptive hypermedia in a context-aware tourist guide. Communications of the ACM 45(5), 47–51 (2002)
Cappi, J., Rossi, G., Fortier, A., Schwabe, D.: Seamless Personalization of E-commerce Applications. In: ER-Workshop on Conceptual Modeling Approaches for e-Business, pp. 457–470 (2001)
Dey, A.K., Salber, D., Abowd, G.D.: 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 Journal 16(2-4), 97–166 (2001)
Eirinaki, M., Vazirgiannis, M.: Web Mining for Web Personalization. ACM Transactions on Internet Technology 3(1), 1–27 (2003)
Housel, B.C., Samaras, G., Lindquist, D.B.: WebExpress: A Client/Intercept Based System for Optimizing Web Browsing in a Wireless Environment. Mobile Networks and Applications 3(4), 419–431 (1998)
Jones, G.J.F., Brown, P.J.: Challenges and Opportunities for Context-Aware Retrieval on Mobile Devices. In: ACM SIGIR Workshop on Mobile Personal Information Retrieval, pp. 47–56 (2002)
Kappel, G., Proll, B., Retschitzegger, W., Schwinger, W.: Customisation for Ubiquitous Web Applications - A Comparison of Approaches. International Journal of Web Engineering and Technology 1(1), 79–111 (2003)
Mobasher, B., Cooley, R., Srivastava, J.: Automatic Personalization Based on Web Usage Mining. Communications of the ACM 43(8), 142–151 (2000)
Mobasher, B., Dai, H., Luo, T., Nakagawa, M., Sun, Y., Wilshire, J.: Discovery of Aggregate Usage Profiles for Web Personalization. In: Proceedings of the Web Mining for E-Commerce Workshop (August 2000)
Mobasher, B., Dai, H., Luo, T., Nakagawa, M.: Effective Personalization Based on Association Rule Discovery from Web Usage Data. In: Proceedings of the 3rd ACM Workshop on Web Information and Data Management, pp. 9–15 (2001)
Prekop, P., Burnett, M.: Activities, Context and Ubiquitous Computing, Special Issue on Ubiquitous Computing. Computer Communications (Autumn 2002)
Rhodes, B.J., Maes, P.: Just-in-time information retrieval agents. IBM Systems Journal 39(4), 685–704 (2000)
Samaras, G., Pitsillides, A.: Client/intercept: a Computational Model for Wireless Environments. In: Proceedings of the 4th International Conference on Telecommunications (April 1997)
Weiser, M.: Ubiquitous Computing., http://www.ubiq.com/hypertext/weiser/UbiHome.html
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© 2004 Springer-Verlag Berlin Heidelberg
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Kwon, J., Kim, S., Yoon, Y. (2004). Just-in-Time Recommendation Using Multi-agents for Context-Awareness in Ubiquitous Computing Environment. In: Lee, Y., Li, J., Whang, KY., Lee, D. (eds) Database Systems for Advanced Applications. DASFAA 2004. Lecture Notes in Computer Science, vol 2973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24571-1_59
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DOI: https://doi.org/10.1007/978-3-540-24571-1_59
Publisher Name: Springer, Berlin, Heidelberg
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