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文章基本信息

  • 标题:Personalized Integration of Recommendation Methods for E-commerce.
  • 本地全文:下载
  • 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.
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