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基于FCA的Folksonomy用户偏好挖掘研究
引用本文:张云中,杨萌,徐宝祥.基于FCA的Folksonomy用户偏好挖掘研究[J].现代图书情报技术,2011(6):72-78.
作者姓名:张云中  杨萌  徐宝祥
作者单位:吉林大学管理学院;
摘    要:针对当前Folksonomy用户偏好挖掘方法只能在二元关系基础上挖掘用户偏好、只关注单用户偏好而忽略用户群偏好、只注重静态偏好而忽视时间推移带来的动态变化等问题,提出基于FCA的Folksonomy用户偏好挖掘模型,通过构建Folksonomy多值背景及单值背景,在概念格可视化基础上分析Folksonomy用户行为、用户偏好及其转移。该模型的提出为Folksonomy系统中的用户偏好的获取提供新思路。

关 键 词:形式概念分析  分众分类法  用户偏好

Research on FCA-based User Profile Mining for Folksonomy
Zhang Yunzhong Yang Meng Xu Baoxiang.Research on FCA-based User Profile Mining for Folksonomy[J].New Technology of Library and Information Service,2011(6):72-78.
Authors:Zhang Yunzhong Yang Meng Xu Baoxiang
Institution:Zhang Yunzhong Yang Meng Xu Baoxiang(School of Management,Jilin University,Changchun 130022,China)
Abstract:Aiming at the major defects of current folksonomy user profile mining methods such as mining user profile on the basis of binary relation,focus on the user profile of single-user rather than user groups,and focus on the static user profile but neglect the dynamic changes over time etc,a new FCA-based user profile mining methods for folksonomy is proposed.By means of constructing folksonomy multi-valued formal context and single-valued formal context,the user behaviors,user preferences and their transfer for...
Keywords:FCA Folksonomy User profile  
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