基于概念模糊集的Yahoo!

R. Ohgaya, T. Takagi, K. Fukano, K. Taniguchi, A. Aizawa, M. Nikravesh
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引用次数: 14

摘要

本文提出了一种从概念上匹配输入关键字和路径的菜单导航系统。对于概念匹配,我们使用了基于径向基函数(RBF)网络的概念模糊集。在CFS中,一个概念的意义由其他概念的激活值的分布来表示。为了扩展输入关键字,激活值的传播是递归地进行的。拟议的系统建议用户进入适当类别的路径。我们使用3D用户界面来导航用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Conceptual fuzzy sets-based navigation system for Yahoo!
In this paper, we propose a menu navigation system which conceptually matches input keywords and paths. For conceptual matching, we use conceptual fuzzy sets (CFSs) based on radial basis function (RBF) networks. In a CFS, the meaning of a concept is represented by the distribution of the activation values of the other concepts. To expand input keywords the propagation of activation values is carried out recursively. The proposed system recommends users paths to appropriate categories. We use 3D user interface to navigate users.
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