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Discerning individual interests and shared interests for social user profiling

文献类型：期刊论文

作者Chen, Enhong3; Zeng, Guangxiang3; Luo, Ping4; Zhu, Hengshu1; Tian, Jilei5; Xiong, Hui2
刊名WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS
出版日期2017-03-01
卷号20期号:2页码:417-435
关键词Social recommendation User profiling Collaborative filtering Information filtering Social and behavioral sciences
ISSN号1386-145X
DOI10.1007/s11280-016-0397-x
英文摘要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.
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
语种英语
WOS记录号WOS:000394274700012
出版者SPRINGER
源URL[http://119.78.100.204/handle/2XEOYT63/7550]  
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.Baidu Res Big Data Lab, Beijing 100085, Peoples R China
2.Rutgers State Univ, Rutgers Business Sch, Management Sci & Informat Syst Dept, Newark, NJ 07102 USA
3.Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230026, Anhui, Peoples R China
4.Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing 100080, Peoples R China
5.BMW Technol, 100 North Riverside Plaza,Suite 1900, Chicago, IL 60606 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.

入库方式： OAI收割

来源：计算技术研究所

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