Inferring user profiles in social media by joint modeling of text and networks

被引：0
|
作者：
Ruifeng XU [1 ]
Jiachen DU [1 ]
Zhishan ZHAO [2 ]
Yulan HE [3 ]
Qinghong GAO [1 ]
Lin GUI [3 ]
机构：
[1] School of Computer Science and Technology,Harbin Institute of Technology Shenzhen Graduate School
[2] Baidu Inc.
[3] Department of Computer Science, University of Warwick
来源：
Science China(Information Sciences) | 2019年 / 62卷 / 11期
基金：
“创新英国”项目; 中国国家自然科学基金;
关键词：
profile; Inferring user profiles in social media by joint modeling of text and networks;
D O I：
暂无
中图分类号：
TP391.1 [文字信息处理]; G206 [传播理论];
学科分类号：
050302 ; 081203 ; 0835 ;
摘要：
Dear editor,With the rapid growth of social media platforms such as Twitter and Chinese Weibo, personalized services, such as recommendation and personalized advertising, provide more engaging experiences for the users. A prerequisite to personalized services is effective user profiling. However, many users do not want to share their profiles online due to
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收藏
页码：201 / 203
页数：3
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