CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算与图形学
Relational User Attribute Inference in Social Media
Fang, Quan1; Sang, Jitao1; Xu, Changsheng1; Hossain, M. Shamim2
Source PublicationIEEE TRANSACTIONS ON MULTIMEDIA
2015-07-01
Volume17Issue:7Pages:1031-1044
SubtypeArticle
AbstractNowadays, 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.
KeywordAttribute Relation Latent Svm (lSvm) User Attribute Inference
WOS HeadingsScience & Technology ; Technology
WOS KeywordCLASSIFICATION
Indexed BySCI
Language英语
WOS Research AreaComputer Science ; Telecommunications
WOS SubjectComputer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS IDWOS:000356522300010
Citation statistics
Cited Times:17[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/7915
Collection模式识别国家重点实验室_多媒体计算与图形学
Affiliation1.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
Recommended Citation
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.
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