Discerning individual interests and shared interests for social user profiling

doi:10.1007/s11280-016-0397-x

	Discerning individual interests and shared interests for social user profiling
	Chen, Enhong 1; Zeng, Guangxiang 1; Luo, Ping 2; Zhu, Hengshu 3; Tian, Jilei 4; Xiong, Hui 5
	2017-03-01
发表期刊	WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
ISSN	1386-145X
卷号	20 期号:2 页码:417-435
摘要	Traditionally, research about social user profiling assumes that users share some similar interests with their followees. However, it lacks the studies on what topic and to what extent their interests are similar. Our study in online sharing sites reveals that besides shared interests between followers and followees, users do maintain some individual interests which differ from their followees. Thus, for better social user profiling we need to discern individual interests (capturing the uniqueness of users) and shared interests (capturing the commonality of neighboring users) of the users in the connected world. To achieve this, we extend the matrix factorization model by incorporating both individual and shared interests, and also learn the multi-faceted similarities unsupervisedly. The proposed method can be applied to many applications, such as rating prediction, item level social influence maximization and so on. Experimental results on real-world datasets show that our work can be applied to improve the performance of social rating. Also, it can reveal some interesting findings, such as who likes the "controversial" items most, and who is the most influential in attracting their followers to rate an item.
关键词	Social recommendation User profiling Collaborative filtering Information filtering Social and behavioral sciences
DOI	10.1007/s11280-016-0397-x
收录类别	SCI
语种	英语
资助项目	National Science Foundation for Distinguished Young Scholars of China[61325010] ; Natural Science Foundation of China[61403358] ; Natural Science Foundation of China[71329201] ; Science and Technology Program for Public Wellbeing[2013GS340302] ; National High Technology Research and Development Program of China[2014AA015203] ; National High Technology Research and Development Program of China[2014AA015105] ; National Natural Science Foundation of China[61473274]
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000394274700012
出版者	SPRINGER
引用统计	被引频次：9[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/7551
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Chen, Enhong; Zeng, Guangxiang
作者单位	1.Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230026, Anhui, Peoples R China 2.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China 3.Baidu Res Big Data Lab, Beijing 100085, Peoples R China 4.BMW Technol, 100 North Riverside Plaza,Suite 1900, Chicago, IL 60606 USA 5.Rutgers State Univ, Rutgers Business Sch, Management Sci & Informat Syst Dept, Newark, NJ 07102 USA
推荐引用方式 GB/T 7714	Chen, Enhong,Zeng, Guangxiang,Luo, Ping,et al. Discerning individual interests and shared interests for social user profiling[J]. WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,2017,20(2):417-435.
APA	Chen, Enhong,Zeng, Guangxiang,Luo, Ping,Zhu, Hengshu,Tian, Jilei,&Xiong, Hui.(2017).Discerning individual interests and shared interests for social user profiling.WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS,20(2),417-435.
MLA	Chen, Enhong,et al."Discerning individual interests and shared interests for social user profiling".WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS 20.2(2017):417-435.