Intelligent Marketing in Smart Cities Crowdsourced Data for Geo-Conquesting

被引：23

作者：

Chen, Bo-Wei ^{[1
]}

Ji, Wen ^{[2
]}

机构：

[1] Monash Univ, Sch Informat Technol, Clayton, Vic, Australia

[2] Chinese Acad Sci, Inst Comp Technol, Beijing, Peoples R China

来源：

IT PROFESSIONAL | 2016年 / 18卷 / 04期

关键词：

computational advertising; crowd flow; crowdsourcing; distributed analysis; distributed systems; geo-conquesting; mobile; pervasive computing; trails; transition flow;

D O I：

10.1109/MITP.2016.64

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The authors' approach for intelligent marketing in smart cities uses large-scale crowdsourcing based on mobile user behavior for market planning. The approach tracks user trails via mobile devices to help marketers analyze crowd flows for geo-conquesting.

引用

页码：18 / 24

页数：7

共 9 条

[1]

Ali S, 2007, PROC CVPR IEEE, P65

[2]

[Anonymous], 2014, Kernel Methods and Machine Learning

[3]

[Anonymous], WALL STREET J

[4]

[Anonymous], CVPR

[5] Geo-Conquesting: Competitive Locational Targeting of Mobile Promotions [J].

Fong, Nathan M. ;

Fang, Zheng ;

Luo, Xueming .

JOURNAL OF MARKETING RESEARCH, 2015, 52 (05) :726-735

[6]

Han J, 2012, MOR KAUF D, P1

[7]

Pei J, 2001, PROC INT CONF DATA, P215

[8]

Srivastava S., 2011, Proceedings of the 2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS 2011), P60, DOI 10.1109/AVSS.2011.6027295

[9] Crowdsourced Trace Similarity with Smartphones [J].

Zeinalipour-Yazti, Demetrios ;

Laoudias, Christos ;

Costa, Constandinos ;

Vlachos, Michail ;

Andreou, Maria I. ;

Gunopulos, Dimitrios .

IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2013, 25 (06) :1240-1253

← 1 →