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Research on FCA-based User Profile Mining for Folksonomy |
Zhang Yunzhong, Yang Meng, Xu Baoxiang |
School of Management, Jilin University, Changchun 130022, China |
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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.
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Received: 01 March 2011
Published: 15 August 2011
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