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文章基本信息

  • 标题:A Comprehensive Survey on Comparisons across Contextual Pre-filtering, Contextual Post-filtering and Contextual Modelling Approaches
  • 本地全文:下载
  • 作者:Khalid Haruna ; Maizatul Akmar Ismail ; Damiasih Damiasih
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2017
  • 卷号:15
  • 期号:4
  • 页码:1865-1874
  • DOI:10.12928/telkomnika.v15i4.6875
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 其他摘要:Recently, there has been growing interest in recommender systems (RS) and particularly in context-aware RS. Methods for generating context-aware recommendations are classified into pre-filtering, post-filtering and contextual modelling approaches. In this paper, we present the several novel approaches of the different variant of each of these three contextualization paradigms and present a complete survey on the state-of-the-art comparisons across them. We then identify the significant challenges that require being addressed by the current RS researchers, which will help academicians and practitioners in comparing these three approaches to select the best alternative according to their strategies.
  • 关键词:contextual pre-filtering;contextual post-filtering;contextual modelling;comparisons;contextualization paradigms context-aware recommender system
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