Microblogger tag auto-annotation based on collective knowledge
文献类型：会议论文
| 作者 | Dan Tian; Li Zhou; Yizhi Xu; Weimin Zheng |
| 出版日期 | 2013 |
| 会议名称 | 2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013 |
| 会议地点 | Yangzhou, Jiangsu, China |
| 英文摘要 | In China, it is free for users to introduce themselves with tags on Sina weibo, the biggest Chinese microblogging platform. User tags provide much useful information for user retrieval and precision advertising. However, 64.2% of users in our study have not tagged themselves. This paper aims to providemicroblogger tag auto-annotation. First, we analyze the tagging behaviors of users to explore what information that is contained in the tagging. Second, based on the analyses and features of social networking, we propose two methods of user tag auto-annotation: one is Collective Filtering (CF) based method and the other is Probabilistic Latent Semantic Analysis (PLSA) based method. Specifically, the CF-based method annotates tags for one user according to the voting scheme by considering his/her neighboring users' tags. By contrast, the PLSA-based method annotates tags for one user according to the topic distribution of his/her neighboring users' tags. Experimental results demonstrate that: (1) the CF-based method outperforms the PLSA-based method at word-level; and (2) the PLSA-based method can obtain more accurate tag annotation results than the CF-based method at topic-level. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5270]  |
| 专题 | 深圳先进技术研究院_其他 |
| 作者单位 | 2013 |
| 推荐引用方式 GB/T 7714 | Dan Tian,Li Zhou,Yizhi Xu,et al. Microblogger tag auto-annotation based on collective knowledge[C]. 见:2013 IEEE 3rd International Conference on Information Science and Technology, ICIST 2013. Yangzhou, Jiangsu, China. |
入库方式： OAI收割
来源：深圳先进技术研究院
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