A Personal Web-Agent System Using Case-Based Iearning


The Transactions of the Korea Information Processing Society (1994 ~ 2000), Vol. 5, No. 6, pp. 1583-1592, Jun. 1998
10.3745/KIPSTE.1998.5.6.1583,   PDF Download:

Abstract

Recently, massive amount of information is provided for the internet users. So users want to search information on Internet, but it is difficult to search information what you want. In this paper, we propose a personal Web-agent system using Case-based learning, We-Guide. Web-Guide consists of two sub-system, interface-system and learning-system. Interface-system operates other web-browser nearly the same and connects user to system. And interface-system transfer datas of current page to learning-queue. Learning-system visit and evaluate the value of each page in learning-queue using evaluation-function that gave weight values occupied by analyzing tag used the character of HTML document. After all users who are known about artificial intelligence well and not made experiments by using Web-Guide, they reached their desired sites faster than before.


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Cite this article
[IEEE Style]
K. Y. Kwon, L. J. Pil, L. M. Rey, K. K. Man, K. K. Tae, "A Personal Web-Agent System Using Case-Based Iearning," The Transactions of the Korea Information Processing Society (1994 ~ 2000), vol. 5, no. 6, pp. 1583-1592, 1998. DOI: 10.3745/KIPSTE.1998.5.6.1583.

[ACM Style]
Kim Young Kwon, Lee Jae Pil, Lee Mal Rey, Kim Kyung Man, and Kim Ki Tae. 1998. A Personal Web-Agent System Using Case-Based Iearning. The Transactions of the Korea Information Processing Society (1994 ~ 2000), 5, 6, (1998), 1583-1592. DOI: 10.3745/KIPSTE.1998.5.6.1583.