Towards City-scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties

Towards City-scale Mobile Crowdsourcing: Task Recommendations under Trajectory Uncertainties

In this work, we investigate the problem of large-scale mobile crowdsourcing, where workers are financially motivated to perform location-based tasks physically. Unlike current industry practice that relies on workers to manually pick tasks to perform, we automatically make task recommendation based...

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Bibliographic Details
Main Authors: CHEN CEN, CHENG, Shih-Fen, LAU, Hoong Chuin, MISRA, Archan
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
Subjects:
Deterministic modeling
Industry practices
Integer linear program
sLagrangian relaxation techniques
Location based
Mobile crowdsourcing
Stochastic task
Transportation network
Computer Sciences
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/2815
https://ink.library.smu.edu.sg/context/sis_research/article/3815/viewcontent/IJCAI2015_City_scaleCrowdsourcing.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/2815
https://ink.library.smu.edu.sg/context/sis_research/article/3815/viewcontent/IJCAI2015_City_scaleCrowdsourcing.pdf

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