A Preliminary Study of E-commerce User Behavior Based on Mobile Big Data

被引：0
|
作者：
Zhao, Bo [1 ,2 ]
Huang, Hong [2 ,3 ]
Luo, Jar-Der [4 ]
Wang, Xinggang [5 ]
Yao, Xiaoming [5 ]
Yahyapour, Ramin [1 ,2 ]
Wang, Zhenxuan [6 ]
Fu, Xiaoming [6 ]
机构：
[1] Gesell Wissenschaftliche Datenverarbeitung MbH Go, Gottingen, Germany
[2] Univ Gottingen, Gottingen, Germany
[3] Huazhong Univ Sci & Technol, Wuhan, Peoples R China
[4] Tsinghua Univ, Dept Sociol, Beijing, Peoples R China
[5] China Telecom Co Ltd, Cloud Comp Branch, Hohhot, Peoples R China
[6] Univ Gottingen, Inst Comp Sci, Gottingen, Germany
来源：
2018 IEEE 87TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING) | 2018年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The rapid popularity of mobile devices especially smart phones has changed human life style greatly. In this paper, we examine the consumer behaviors on several e-commerce platforms based on a large-scale dataset of mobile internet access records for about 3.5 months from a major telecom operator in China, which covers 126,388 users from Shanghai. We provide a preliminary study on users' daily and periodic online shopping behaviors, as well as the influence of special online shopping events and gender factors. These findings may be exploited by e-commerce providers e.g., for developing personalized recommendation systems to improve their service quality and profit.
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页数：5
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