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A Personal News Service Based on a User Model Neural Network
Andrew JENNINGS Hideyuki HIGUCHI
IEICE TRANSACTIONS on Information and Systems
Publication Date: 1992/03/25
Print ISSN: 0916-8532
Type of Manuscript: PAPER
artificial intelligence and cognitive science, computer applications, computer networks, computer graphics and pattern recognition,
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New methods are needed for accessing very large information services. This paper proposes the use of a user model neural network to allow better access to a news service. The network is constructed on the basis of articles read, and articles marked as rejected. It adapts over time to better represent the user's interests and rank the articles supplied by the news service. Using an augmented keyword search we can also search for articles using keywords in conjunction with the user model neural network. Trials of the system in a USENET news environment show promising results for the use of this approach in information retrieval.