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A fuzzy clustering method of construction of ontology-based user profiles

机译:基于本体的用户配置文件的模糊聚类方法

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摘要

With the rapid development of personalized information retrieval, user profile plays an important role. In this paper, we propose a fuzzy clustering method of construction of ontology-based user profiles (FCOU). In the FCOU method, we employ fuzzy clustering techniques combined with optimization techniques to develop ontology-based user profiles. One key feature of FCOU is that it employs an augmented Lagrang-ian function to create fuzzy clustering model for the construction of user profiles. Another key feature of FCOU is that it employs the combination of FCM, PHR and simulated annealing to develop ontology-based user profiles. The method allows some information to belong to several user profiles simultaneously with different degrees of accuracy.
机译:随着个性化信息检索的快速发展,用户个人资料起着重要的作用。在本文中,我们提出了一种基于本体的用户配置文件(FCOU)的模糊聚类方法。在FCOU方法中,我们采用模糊聚类技术与优化技术相结合来开发基于本体的用户配置文件。 FCOU的一个关键功能是它采用增强的拉格朗日函数来创建用于构建用户配置文件的模糊聚类模型。 FCOU的另一个关键功能是它结合了FCM,PHR和模拟退火来开发基于本体的用户配置文件。该方法允许一些信息以不同的准确度同时属于多个用户配置文件。

著录项

  • 来源
    《Advances in Engineering Software》 |2009年第7期|535-540|共6页
  • 作者

    Lixin Han; Guihai Chen;

  • 作者单位

    College of Computer and Information Engineering, Hohai University, China State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China Department of Mathematics, Nanjing University, Nanjing, China;

    State Key Laboratory of Novel Software Technology, Nanjing University, Nanjing, China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    fuzzy clustering; user profile; optimization;

    机译:模糊聚类用户资料;优化;

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