Paper Info
Title
Client-Side Service for Recommending Rewarding Routes to Mobile Crowdsourcing Workers
Abstract
Emerging spatial/mobile crowdsourcing service platforms enable workers (i.e., crowd) to complete spatial crowdsourcing tasks (e.g., taking photos, verifying data on-site, delivery) that are tagged with rewards, time and location features. In this paper, we develop online route recommendation service for a mobile crowdsourcing worker, such that he can (i) reach his destination on time and (ii) rece...
Year
DOI
Venue
2021
10.1109/TSC.2019.2905564
IEEE Transactions on Services Computing
Keywords
DocType
Volume
Task analysis,Crowdsourcing,Time factors,Servers,Lung,Acceleration,Roads
Journal
14
Issue
ISSN
Citations 
6
1939-1374
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yu Li1254.17
Wenjian Xu221.74
man lung yiu32436109.78