Demographic Attribute Inference from Social Multimedia Behaviors: a Cross-OSN Approach
Liancheng Xiang1,2; Jitao Sang1,2; Changsheng Xu1,2
2017
会议名称International Conference on Multimedia Modeling (MMM)
会议日期January 4-6, 2017
会议地点Reykjavik, Iceland
摘要
This study focuses on exploiting the dynamic social multimedia behaviors to infer the stable demographic attributes. Existing demographic attribute inference studies are devoted to developing advanced features/models or exploiting external information and knowledge. The conflicts between dynamicity of behaviors and the steadiness of demographic attributes are largely ignored. To address this issue, we introduce a cross-OSN approach to discover the shared stable patterns from users' social multimedia behaviors on multiple Online Social Networks (OSNs). The basic assumption for the proposed approach is that, the same user's cross-OSN behaviors are the reflection of his/her demographic attributes in different scenarios. Based on this, a coupled projection matrix extraction method is proposed for solution, where the cross-OSN behaviors are collectively projected onto the same space for demographic attribute inference. Experimental evaluation is conducted on a self-collected Google+ and Twitter dataset consisting of four types of demographic attributes as gender, age, relationship and occupation. The experimental results demonstrate the effectiveness of cross-OSN based demographic attribute inference.
关键词Cross-osn Stable Demographic Attribute Inference Dynamic Behavior
DOI10.1007/978-3-319-51811-4_42
引用统计
被引频次:1[WOS]   [WOS记录]     [WOS相关记录]
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/14447
专题模式识别国家重点实验室_多媒体计算与图形学
通讯作者Changsheng Xu
作者单位1.National Lab of Pattern Recognition, Institute of Automation, CAS, Beijing 100190, China
2.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式
GB/T 7714
Liancheng Xiang,Jitao Sang,Changsheng Xu. Demographic Attribute Inference from Social Multimedia Behaviors: a Cross-OSN Approach[C],2017.
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