Personalized Wire and Wireless News Retrieval System Using Intelligent Agent


The KIPS Transactions:PartB , Vol. 8, No. 6, pp. 609-616, Dec. 2001
10.3745/KIPSTB.2001.8.6.609,   PDF Download:

Abstract

Today, as the Internet is popularized, information and news retrieval are generalized. However due to the tremendous amount and variety of information, many users appeal the difficulties of information retrieval. Thus in this paper, we propose a news retrieval system, which filters news articles using an intelligent agent with the learning ability of BPN (back propagation neural network). This system also uses a profile to accomodate the personalized news retrieval. This system consists of two major agents, collection agent and learning agent. The collection agent gathers the articles from several news sites, analyzes them, and stores into a database. The learning agent builds the BPN based on the personalized data. In addition, considering the popularity of the wireless internet due to the rapid development of communication technologies, we made this system provide the service through the wireless internet.


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Cite this article
[IEEE Style]
S. M. Han and J. W. Woo, "Personalized Wire and Wireless News Retrieval System Using Intelligent Agent," The KIPS Transactions:PartB , vol. 8, no. 6, pp. 609-616, 2001. DOI: 10.3745/KIPSTB.2001.8.6.609.

[ACM Style]
Seon Mi Han and Jin Woon Woo. 2001. Personalized Wire and Wireless News Retrieval System Using Intelligent Agent. The KIPS Transactions:PartB , 8, 6, (2001), 609-616. DOI: 10.3745/KIPSTB.2001.8.6.609.