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 folksonomy are analyzed based on the visual concept lattice which converts from formal context. The model provides a new idea for getting the user profile in folksonomy system.
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, 27(6): 72-78.
Zhang Yunzhong, Yang Meng, Xu Baoxiang. Research on FCA-based User Profile Mining for Folksonomy. New Technology of Library and Information Service, 2011, 27(6): 72-78.
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