FlierMeet: Cross-Space Public Information Reposting with Mobile Crowd Sensing

被引：8

作者：

Guo, Bin ^{[1
]}

Chen, Huihui ^{[1
]}

Yu, Zhiwen ^{[1
]}

Xie, Xing ^{[2
]}

Huangfu, Shenlong ^{[1
]}

Wang, Zhu ^{[1
]}

机构：

[1] Northwestern Polytech Univ, 128 Youyi West Rd, Xian, Peoples R China

[2] Microsoft Res Asia, Beijing, Peoples R China

来源：

PROCEEDINGS OF THE 2014 ACM INTERNATIONAL JOINT CONFERENCE ON PERVASIVE AND UBIQUITOUS COMPUTING (UBICOMP'14 ADJUNCT) | 2014年

关键词：

Mobile crowd sensing; cross-space; urban sensing; crowd-object interaction; tagging; recommendation;

D O I：

10.1145/2638728.2638730

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

Bulletin boards serve an important function for public information sharing. Posted fliers advertise services, events and other announcements. However, fliers posted offline suffer from problems such as limited spatial-temporal coverage and inefficient search aid. In recent years, with the development of sensor-enhanced mobile devices, mobile crowd sensing has been used in a variety of application areas. In this paper we present FlierMeet, a crowd-powered sensing system for cross-space public information reposting, tagging and sharing. The tags are auto-labeled based on a set of visual and crowd-object interaction features. Initial deployments and experiments prove the effectiveness of our system.

引用

页码：59 / 62

页数：4

共 9 条

[1] FlierMeet: A Mobile Crowdsensing System for Cross-Space Public Information Reposting, Tagging, and Sharing
Guo, Bin
Chen, Huihui
Yu, Zhiwen
Xie, Xing
Huangfu, Shenlong
Zhang, Daqing
IEEE TRANSACTIONS ON MOBILE COMPUTING, 2015, 14 (10) : 2020 - 2033
[2] A cross-space, multi-interaction-based dynamic incentive mechanism for mobile crowd sensing
Nan, Wen-Qian
Guo, Bin
Chen, Hui-Hui
Yu, Zhi-Wen
Wu, Wen-Le
Zhou, Xing-She
Jisuanji Xuebao/Chinese Journal of Computers, 2015, 38 (12): : 2412 - 2425
[3] A Cross-Space, Multi-Interaction-based Dynamic Incentive Mechanism for Mobile Crowd Sensing
Nan, Wenqian
Guo, Bin
Huangfu, Shenlong
Yu, Zhiwen
Chen, Huihui
Zhou, Xingshe
2014 IEEE 11TH INTL CONF ON UBIQUITOUS INTELLIGENCE AND COMPUTING AND 2014 IEEE 11TH INTL CONF ON AUTONOMIC AND TRUSTED COMPUTING AND 2014 IEEE 14TH INTL CONF ON SCALABLE COMPUTING AND COMMUNICATIONS AND ITS ASSOCIATED WORKSHOPS, 2014, : 179 - 186
[4] Assessing Driving Behavior in Public Transportation Through Mobile Crowd Sensing: A Concept Proposal for Macau Public Transportation System
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Tong, Sok Han
Cordeiro, Joao
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[5] Maximizing spatial-temporal coverage in mobile crowd-sensing based on public transports with predictable trajectory
Wang, Chaowei
Li, Chensheng
Qin, Cai
Wang, Weidong
Li, Xiuhua
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2018, 14 (08)
[6] SDN-based cross-domain cooperative method for trusted nodes recommendation in Mobile crowd sensing
Zhongnan Zhao
Yanli Wang
Huiqiang Wang
Peer-to-Peer Networking and Applications, 2021, 14 : 3793 - 3805
[7] SDN-based cross-domain cooperative method for trusted nodes recommendation in Mobile crowd sensing
Zhao, Zhongnan
Wang, Yanli
Wang, Huiqiang
PEER-TO-PEER NETWORKING AND APPLICATIONS, 2021, 14 (06) : 3793 - 3805
[8] Assessing Driving Behavior in Macau Public Transportation Through Mobile Crowd Sensing: A Study of the Macau Bus Passenger Profile
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INTELLIGENT TRANSPORT SYSTEMS - FROM RESEARCH AND DEVELOPMENT TO THE MARKET UPTAKE, INTSYS 2017, 2018, 222 : 31 - 39
[9] RMDF-CV: A Reliable Multi-Source Data Fusion Scheme With Cross Validation for Quality Service Construction in Mobile Crowd Sensing
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Guo, Jialin
Li, Runsheng
Li, Yuanye
Liu, Anfeng
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Wang, Tian
Dong, Mianxiong
Song, Houbing
IEEE TRANSACTIONS ON SERVICES COMPUTING, 2025, 18 (01) : 399 - 413

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