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：

中国国家自然科学基金; 上海市自然科学基金;

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

页码：624 / 629

页数：6

共 50 条

[1] DATA MINING USER BEHAVIORS IN MOBILE ENVIRONMENTS
Banothu, Narsimha
Sastry, J. S. V. R. S.
[J]. INTERNATIONAL CONFERENCE ON COMPUTER VISION AND MACHINE LEARNING, 2019, 1228
[2] Statistical Keystroke Dynamics System on Mobile Devices for Experimental Data Collection and User Authentication
Al-Obaidi, Noor Mahmood
Al-Jarrah, Mudhafar M.
[J]. 2016 9TH INTERNATIONAL CONFERENCE ON DEVELOPMENTS IN ESYSTEMS ENGINEERING (DESE 2016), 2016, : 123 - 129
[3] Multiagent Application in Mobile Environments to Data Collection in Park Zones
Navarro, Maria
de la Prieta, Fernando
Villarrubia, Gabriel
Saberi Mohamad, Mohd
[J]. DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 11TH INTERNATIONAL CONFERENCE, 2014, 290 : 251 - 259
[4] Optimal resilient distributed data collection in mobile edge environments
Audrito, Giorgio
Casadei, Roberto
Damiani, Ferruccio
Pianini, Danilo
Viroli, Mirko
[J]. COMPUTERS & ELECTRICAL ENGINEERING, 2021, 96
[5] Data Allocation Based on User Moving in Mobile Computing Environments
Du Hongmei
[J]. INFORMATION-AN INTERNATIONAL INTERDISCIPLINARY JOURNAL, 2012, 15 (09): : 3819 - 3825
[6] User Recruitment System for Efficient Photo Collection in Mobile Crowdsensing
Wang, En
Yang, Yongjian
Wu, Jie
Lou, Kaihao
Luan, Dongming
Wang, Hengzhi
[J]. IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2020, 50 (01) : 1 - 12
[7] A MOBILE OCEANOGRAPHIC DATA-COLLECTION SYSTEM
ALLES, MF
ALFULTIS, MA
[J]. OCEANS 89, VOL 1-6: AN INTERNATIONAL CONFERENCE ADDRESSING METHODS FOR UNDERSTANDING THE GLOBAL OCEAN, 1989, : 1676 - 1680
[8] Global data allocation based on user behaviors in mobile computing environments
Huang, Yin-Fu
Lin, Kun-Hao
[J]. 2006 INTERNATIONAL SYMPOSIUM ON COMMUNICATIONS AND INFORMATION TECHNOLOGIES,VOLS 1-3, 2006, : 85 - 90
[9] Global data allocation based on user behaviors in mobile computing environments
Huang, Yin-Fu
Lin, Kun-Hao
[J]. COMPUTER COMMUNICATIONS, 2008, 31 (10) : 2420 - 2427
[10] Mobile, embedded computer system for infrared data collection
McKeeman, JC
Montgomery, JB
Clinton, BL
Baxley, FO
[J]. PROCEEDINGS OF THE IEEE 1997 AEROSPACE AND ELECTRONICS CONFERENCE - NAECON 1997, VOLS 1 AND 2, 1997, : 820 - 826

← 1 2 3 4 5 →