Fine-grained User Preference Modeling Based on Tag Networks
Yi Ming1,2, Mao Jin2, Deng Weihua3
1. School of Information Management, Wuhan University, Wuhan 430072,China;
2. Department of Information Management,Huazhong Normal University, Wuhan 430079, China;
3. College of Economics & Management, Huazhong Agriculture University, Wuhan 430070,China
Abstract：Aiming at the existing problems in the process of extracting user preferences, a new approach that to organize user generated tags by constructing site-level and user-level tag networks on the basis of social network analysis is proposed. Then, topic based tag documents and topic based user networks are formed. A fine-grained user preference model is formed by computing the similarity between them. The experimental results show that the model is scientific.
易明, 毛进, 邓卫华. 基于社会化标签网络的细粒度用户兴趣建模[J]. 现代图书情报技术, 2011, 27(4): 35-41.
Yi Ming, Mao Jin, Deng Weihua. Fine-grained User Preference Modeling Based on Tag Networks. New Technology of Library and Information Service, 2011, 27(4): 35-41.
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