标题:Task assignments in complex collaborative crowdsourcing
作者:He, Wei ;Cui, Lizhen ;Huang, Cheng
通讯作者:Cui, Lizhen
作者机构:[He, W] School of Software, Shandong University, Jinan, China;[ Cui, L] School of Software, Shandong University, Jinan, China;[ Huang, C] School of So 更多
会议名称:13th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2018
会议日期:18 August 2018 through 19 August 2018
来源:Communications in Computer and Information Science
出版年:2019
卷:917
页码:574-580
DOI:10.1007/978-981-13-3044-5_45
关键词:Complex collaborative crowdsourcing; Crowdsourcing task assignment; Task dependency; Task sequence
摘要:At present, crowdsourcing platforms are mainly developed for Micro-tasks such as data annotation and image recognition. However, complex collaborative crowdsourcing tasks, which usually contain multiple interdependent subtasks, are emerging and require a variety of workers with different skills to cooperate with each other. To solve the worker-task matching problem in the complex collaborative crowdsourcing, we propose a complex crowdsourcing task assignment algorithm (C 3 TA), which models the complex collaborative crowdsourcing task assignment problem as a combinatorial optimization problem based on the maximum flow and compute the optimal solution to task assignment with a Slide-Container Queue (SCP). The experimental results show that the algorithm can effectively assign complex collaborative crowdsourcing tasks with the constraint of multi-skill workers and sequential subtasks and maximize the number of assigned tasks. © Springer Nature Singapore Pte Ltd. 2019.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059098992&doi=10.1007%2f978-981-13-3044-5_45&partnerID=40&md5=4c343d585f3dc44cc2be2fa47299ed24
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