LBSLab: A User Data Collection System in Mobile Environments

被引：2

作者：

Gong, Qingyuan ^{[1
]}

He, Xinlei ^{[1
]}

Xie, Qinge ^{[1
]}

Lin, Shihan ^{[1
]}

She, Guozhen ^{[1
]}

Fang, Ruiyu ^{[1
]}

Han, Rui ^{[1
]}

Chen, Yang ^{[1
]}

Xiao, Yu ^{[2
]}

Fu, Xiaoming ^{[3
]}

Wang, Xin ^{[1
]}

机构：

[1] Fudan Univ, Sch Comp Sci, Shanghai, Peoples R China

[2] Aalto Univ, Dept Commun & Networking, Helsinki, Finland

[3] Univ Goettingen, Inst Comp Sci, Gottingen, Germany

来源：

PROCEEDINGS OF THE 2018 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING AND PROCEEDINGS OF THE 2018 ACM INTERNATIONAL SYMPOSIUM ON WEARABLE COMPUTERS (UBICOMP/ISWC'18 ADJUNCT) | 2018年

基金：

上海市自然科学基金; 中国国家自然科学基金;

关键词：

Data Collection; User Behavior; Location-Based Services; Mini-Program; Urban Computing;

D O I：

10.1145/3267305.3267546

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Thanks to the emergence of mobile computing technologies, location-based services (LBS) have been widely used. Massive data of LBS user activities would be useful for studying human mobility and urban computing. In this paper, we design and implement LBSLab, a system which facilitates large-scale data collection of mobile user activities, and provides data visualization in an informative way. LBSLab interacts with users via a mini-program built in the WeChat app, assembling several representative location-related functions such as conducting check-ins. A mobile user can join a data collection experiment by simply scanning a QR code. LBSLab can serve as an efficient system to study the user behavior of LBS-related applications.

引用

下载

页码：624 / 629

页数：6

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