Prediction of purchase behaviors across heterogeneous social networks

doi:10.1007/s11227-015-1495-8

	Prediction of purchase behaviors across heterogeneous social networks
	Wang, Yuanzhuo 1; Li, Jingyuan 1; Liu, Qiang 1,2; Ren, Yan 3
	2015-09-01
发表期刊	JOURNAL OF SUPERCOMPUTING
ISSN	0920-8542
卷号	71 期号:9 页码:3320-3336
摘要	Due to the development of web services, many social network sites, as well as online shopping sites have been booming in the past decade, where it is a common phenomenon that people are likely to use multiple services at the same time. On the one hand, previous research findings indicate the data sparsity issues of online shopping accounts, which is caused by the heavy-tailed distribution of user information. On the other hand, in social network sites, the personal information and the corresponding statuses of an account are abundant, and their genuineness is guaranteed either by the service provider, or by the willingness of the account owner to connect to his or her friends in reality. Making use of the correlation between accounts of a same individual is a crucial prerequisite for many interesting cross network applications, such as improving the recommendation performance of the online shopping sites using extra information from social network services. In this paper, we firstly propose a game-theoretic method to identify correlation accounts of individuals between social network sites and online shopping sites with stable matching model, incorporating account profiles as well as historical behaviors. Using the above account relationships, we then put forward a predicting method that combines heterogeneous social network information and online shopping information, to predict the purchasing behaviors. The results show that our method identifies up to 70 % of the correlation accounts between Facebook and eBay, one of the most popular social network sites and online shopping sites in the world, respectively. The experimental results also show that using the correlation account sets, the accuracy of our purchase predicting method outperforms the state-of-the-art methods by 5 %.
关键词	Prediction of purchase behaviors Account matching Heterogeneous social networks
DOI	10.1007/s11227-015-1495-8
收录类别	SCI
语种	英语
资助项目	National Grand Fundamental Research 973 Program of China[2014CB340401] ; National Grand Fundamental Research 973 Program of China[2013CB329602] ; National Natural Science Foundation of China[61173008] ; National Natural Science Foundation of China[61232010] ; National Natural Science Foundation of China[61303244] ; National Natural Science Foundation of China[61402022] ; National Natural Science Foundation of China[61402442] ; Beijing Nova Program[Z12110100251-2063]
WOS研究方向	Computer Science ; Engineering
WOS类目	Computer Science, Hardware & Architecture ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000360390700007
出版者	SPRINGER
引用统计	被引频次：6[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/2XEOYT63/9432
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Wang, Yuanzhuo
作者单位	1.Chinese Acad Sci, Inst Comp Technol, CAS Key Lab Network Data Sci & Tech, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Natl Comp Network Emergency Response Tech Team Co, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Wang, Yuanzhuo,Li, Jingyuan,Liu, Qiang,et al. Prediction of purchase behaviors across heterogeneous social networks[J]. JOURNAL OF SUPERCOMPUTING,2015,71(9):3320-3336.
APA	Wang, Yuanzhuo,Li, Jingyuan,Liu, Qiang,&Ren, Yan.(2015).Prediction of purchase behaviors across heterogeneous social networks.JOURNAL OF SUPERCOMPUTING,71(9),3320-3336.
MLA	Wang, Yuanzhuo,et al."Prediction of purchase behaviors across heterogeneous social networks".JOURNAL OF SUPERCOMPUTING 71.9(2015):3320-3336.