| 题名: | tag recommendation based on bayesian principle |
| 作者: | Wang Zhonghui
; Deng Zhihong
|
| 会议文集: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
|
| 会议名称: | 6th International Conference on Advanced Data Mining and Applications, ADMA 2010
|
| 会议日期: | 40848
|
| 出版日期: | 2010
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| 会议地点: | Chongqing, China
|
| 关键词: | Algorithms
; Bayesian networks
; Data mining
; Thesauri
|
| 出版地: | Germany
|
| 收录类别: | ei
|
| ISSN: | 3029743
|
| ISBN: | 3642173128
|
| 部门归属: | (1) State Key Lab. of Computer Science, Institute of Software, Chinese Academy of Sciences, Beijing 100190, China; (2) Key Laboratory of Machine Perception (Ministry of Education), School of Electronics Engineering and Computer Science, Peking University, China
|
| 主办者: | National Natural Science Foundation of China; Chongqing Science and Technology Commission; Chongqing Academy of Science and Technology
|
| 英文摘要: | Social tagging systems have become increasingly a popular way to organize online heterogeneous resources. Tag recommendation is a key feature of social tagging systems. Many works has been done to solve this hard tag recommendation problem and has got same good results these years. Taking into account the complexity of the tagging actions, there still exist many limitations. In this paper, we propose a probabilistic model to solve this tag recommendation problem. The model is based on Bayesian principle, and its very robust and efficient. For evaluating our proposed method, we have conducted experiments on a real dataset extracted from BibSonomy, an online social bookmark and publication sharing system. Our performance study shows that our method achieves good performance when compared with classical approaches. © 2010 Springer-Verlag. |
| 语种: | 英语
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| 内容类型: | 会议论文
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| URI标识: | http://ir.iscas.ac.cn/handle/311060/8926
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| Appears in Collections: | 中科院软件所图书馆_2010软件所会议论文
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| tag recommendation based on bayesian principle.pdf（298KB） | -- | -- | 限制开放 | -- | 联系获取全文 |
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| Recommended Citation: | |
Wang Zhonghui,Deng Zhihong. tag recommendation based on bayesian principle[C]. 见:6th International Conference on Advanced Data Mining and Applications, ADMA 2010. Chongqing, China. 40848.
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