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面向C2C的基于声誉的信任模型设计与分析
  • 摘要

    现有的信任模型或基于信任链,不能充分利用门户网站上丰富的推荐信息;或缺乏对推荐信息有效性的分析,不能很好地应对信任炒作和诽谤.将以往模型进行改进,对推荐信息采用长期分析和短期分析结合的方法,充分利用了推荐信息,并能有效应对信任炒作和诽谤,可以更好地辅助C2C电子交易系统的用户进行决策.

  • 作者

    荆博贤  徐锋  王远  吕建  JING Bo-xian  XU Feng  WANG Yuan  Lü Jian 

  • 作者单位

    南京大学,计算机软件新技术国家重点实验室,江苏,南京,210093;南京大学,计算机软件研究所,江苏,南京,210093

  • 刊期

    2007年6期 ISTIC PKU

  • 关键词

    C2C  电子商务  声誉  信任  防炒作  模型 

参考文献
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