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文章基本信息

  • 标题:Modern Approaches to Building Recommender Systems for Online Stores
  • 本地全文:下载
  • 作者:Lyudmila Onokoy ; Jurijs Lavendels jurijs.lavendels@.rtu.lv
  • 期刊名称:Applied Computer Systems
  • 印刷版ISSN:2255-8691
  • 出版年度:2019
  • 卷号:24
  • 期号:1
  • 页码:18-24
  • DOI:10.2478/acss-2019-0003
  • 出版社:Walter de Gruyter GmbH
  • 摘要:The article presents current approaches to solving the problem of building recommender systems designed to intellectualize the user interface of online stores. Much attention is paid to modern methods of building recommender systems, analysing their strengths and weaknesses. Of greatest interest are the criteria for selecting effective methods for specific online stores and the authors’ concept of a typical recommender system of electronic commerce.
  • 关键词:Collaborative filtering ; combined co-filtering ; content filtering ; typical recommender system
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