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Quality and Budget Aware Task Allocation for Spatial Crowdsourcing


Authors: H. Yu, C. Miao, Z. Shen, and C. Leung
Title: Quality and Budget Aware Task Allocation for Spatial Crowdsourcing
Abstract: A major research challenge for spatial crowdsourcing is to improve the expected quality of the results. However, existing research in this field mostly focuses on achieving this objective in volunteer-based spatial crowdsourcing. In this paper, we introduce the budget limitations into the above problem and consider realistic cases where workers are paid unequally based on their trustworthiness. We propose a novel quality and budget aware spatial task allocation approach which jointly considers the workers' reputation and proximity to the task locations to maximize the expected quality of the results while staying within a limited budget.
Keywords: Reputation; Task allocation; Spatial crowdsourcing
Conference Name: 14th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’15)
Location: Istanbul, Turkey
Publisher: IFAAMAS
Year: 2015
Accepted PDF File: Quality_and_Budget_Aware_Task_Allocation_for_Spatial_Crowdsourcing_accepted.pdf
Permanent Link: http://www.aamas2015.com/en/AAMAS_2015_USB/aamas/p1689.pdf
Reference: H. Yu, C. Miao, Z. Shen, and C. Leung, “Quality and budget aware task allocation for spatial crowdsourcing,” in Proceedings of the 14th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS’15). IFAAMAS, May 2015, pp. 1689–1690.
bibtex: 
@inproceedings{LILY-c36, 
   author	= {Yu, Han and Miao, Chunyan and Shen, Zhiqi and Leung, Cyril},
   title	= {Quality and Budget Aware Task Allocation for Spatial Crowdsourcing},  
   booktitle	= {Proceedings of the 14th International Conference on Autonomous Agents and Multi-agent Systems (AAMAS'15)}, 
   year		= {2015}, 
   month	= {May}, 
   pages	= {1689-1690}, 
   location	= {Istanbul, Turkey},
   publisher	= {IFAAMAS},
}