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| 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 |
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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.
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Received: 07 March 2011
Published: 11 June 2011
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