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文章基本信息

  • 标题:Collaborative Filtering Recommendation Model Based on Normalization Method
  • 本地全文:下载
  • 作者:Gao Yan
  • 期刊名称:International Journal of Grid and Distributed Computing
  • 印刷版ISSN:2005-4262
  • 出版年度:2016
  • 卷号:9
  • 期号:10
  • 页码:291-300
  • 出版社:SERSC
  • 摘要:In view of traditional collaborative filtering recommendation does not take into account differences of dimension of user vector and value of evaluation, this paper proposed a collaborative filtering recommendation model based on normalization method. Before calculating the user’s or item’s similarity, the value of evaluation will be normalized to a range of specifications. Then the similarity of user vector will be calculated, and predictions and recommend will be made. The experimental results show that this model could accurately find similar neighbor users or items, and performances of prediction and recommendation have been largely improved.
  • 关键词:normalization; collaborative filtering; similarity measurement
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