Proceedings of the Annual Conference of the Institute of Systems, Control and Information Engineers
The 47th Annual Conference of the Institute of Systems, Control and Information Engineers
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Recommendation of News Articles by Consecutive Revision with a Genetic Algorithm
motonao Ikeda, Hidekazu Yanagimoto, Sigeru Omatu
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Pages 6004

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Abstract
We consider a method to recommend news articles by personal interests with a genetic algorithm that is employed for making the proper vector of user-profile. The user-profile is revised consecutively in order to keep the amount of calculation. The effectiveness of the proposed method is evaluated by simulation.
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© 2003 The Institute of Systems, Control and Information Engineers
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