A Two-staged task assignment algorithm for worker recommendation in a crowdsourcing environment

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原文链接

NETL

外文摘要：Crowdsourcing markets have provided a means to complete tasks cheaply by global netizens。 However， having less control of their workers may adversely affect the quality of work， even worse when assigning tasks without considering workers' skills， abilities and commitments。 We extend the Dual Task Assigner (DTA) algorithm with the Artificial Bee Colony (ABC) algorithm， which figures out the optimal task baseline level for each task to guide the task assignment to workers with appropriate skills。 We empirically evaluate the proposed algorithm using data collected from several crowdsourcing practices by freshmen in computer classes。 The results show that our algorithm guarantees task results， and statistically performs better than the existing DTA and random assignment algorithms。

外文关键词：

Task analysisCrowdsourcingCatsDogsSearch methodsUsability

作者：

Rong Chen、Shifei Chen、Xiaoyao Zhang

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作者单位：

Dalian Maritime University, Dalian 116026, China

Sichuan University - Pittsburgh Institute, Chengdu 610207, China

会议名称：

IEEE International Conference on Industrial Engineering and Engineering Management

会议地点：

Singapore(SG)

会议母体文献：

2017 IEEE International Conference on Industrial Engineering and Engineering Management

页码：

2034-2038

出版时间：

2017

DOI：

10.1109/IEEM.2017.8290249