Relational User Attribute Inference in Social Media
文献类型：期刊论文
| 作者 | Fang, Quan1 ; Sang, Jitao1; Xu, Changsheng1; Hossain, M. Shamim2
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| 刊名 | IEEE TRANSACTIONS ON MULTIMEDIA
 |
| 出版日期 | 2015-07-01 |
| 卷号 | 17期号:7页码:1031-1044 |
| 关键词 | Attribute relation latent SVM (LSVM) user attribute inference |
| 英文摘要 | Nowadays, more and more people are engaged in social media to generate multimedia information, i.e., creating text and photo profiles and posting multimedia messages. Such multimodal social networking activities reveal multiple user attributes such as age, gender, and personal interest. Inferring user attributes is important for user profiling, retrieval, and personalization. Existing work is devoted to inferring user attributes independently and ignores the dependency relations between attributes. In this work, we investigate the problem of relational user attribute inference by exploring the relations between user attributes and extracting both lexical and visual features from online user-generated content. We systematically study six types of user attributes: gender, age, relationship, occupation, interest, and emotional orientation. In view of methodology, we propose a relational latent SVM (LSVM) model to combine a rich set of user features, attribute inference, and attribute relations in a unified framework. In the model, one attribute is selected as the target attribute and others are selected as the auxiliary attributes to assist the target attribute inference. The model infers user attributes and attribute relations simultaneously. Extensive experiments conducted on a collected dataset from Google+ with full attribute annotations demonstrate the effectiveness of the proposed approach in user attribute inference and attribute-based user retrieval. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications |
| 研究领域[WOS] | Computer Science ; Telecommunications |
| 关键词[WOS] | CLASSIFICATION |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000356522300010 |
| 公开日期 | 2015-09-22 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/7915]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 2.King Saud Univ, Coll Comp & Informat Sci, SWE Dept, Riyadh 12372, Saudi Arabia |
| 推荐引用方式 GB/T 7714 | Fang, Quan,Sang, Jitao,Xu, Changsheng,et al. Relational User Attribute Inference in Social Media[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2015,17(7):1031-1044. |
| APA | Fang, Quan,Sang, Jitao,Xu, Changsheng,&Hossain, M. Shamim.(2015).Relational User Attribute Inference in Social Media.IEEE TRANSACTIONS ON MULTIMEDIA,17(7),1031-1044. |
| MLA | Fang, Quan,et al."Relational User Attribute Inference in Social Media".IEEE TRANSACTIONS ON MULTIMEDIA 17.7(2015):1031-1044. |
入库方式： OAI收割
来源：自动化研究所
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