文章基本信息

标题：Personalized Integration of Recommendation Methods for E-commerce.
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作者：Przemysław Kazienko ; Paweł Kołodziejski
期刊名称：International Journal of Computer Science & Applications
印刷版ISSN：0972-9038
出版年度：2006
卷号：III
期号：III
页码：12-26
出版社：Technomathematics Research Foundation
摘要：The hybrid system of personalized product recommendation in e-commerce, by integrating various methods, was presented in the paper. Each e-commerce user has assigned their own weights corresponding to particular methods. Due to the permanent and personalized adaptation of these weights, the system can adjust the influence of individual methods separat ely for each user. Testing the implementation and evaluation of recommendation efficiency were also described.