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.

引用

页数：5

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