Scalable urban mobile crowdsourcing: Handling uncertainty in worker movement

Scalable urban mobile crowdsourcing: Handling uncertainty in worker movement

In this article, we investigate effective ways of utilizing crowdworkers in providing various urban services. The task recommendation platform that we design can match tasks to crowdworkers based on workers’ historical trajectories and time budget limits, thus making recommendations personal and eff...

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Bibliographic Details
Main Authors: CHENG, Shih-Fen, CHEN, Cen, KANDAPPU, Thivya, LAU, Hoong Chuin, MISRA, Archan, JAIMAN, Nikita, DARATAN, Randy Tandriansyah, KOH, Desmond
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2018
Subjects:
participatory sensing
Mobile crowdsourcing
uncertainty modeling
context-aware
empirical study
spatial crowdsourcing
user behavior
Artificial Intelligence and Robotics
Computer Sciences
Operations Research, Systems Engineering and Industrial Engineering
Online Access:https://ink.library.smu.edu.sg/sis_research/3888
https://ink.library.smu.edu.sg/context/sis_research/article/4890/viewcontent/ScalableUrbanMobileCrowd__tist_final_web.pdf
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Institution: Singapore Management University
Language: English

Internet

https://ink.library.smu.edu.sg/sis_research/3888
https://ink.library.smu.edu.sg/context/sis_research/article/4890/viewcontent/ScalableUrbanMobileCrowd__tist_final_web.pdf

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