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Truthful Team Formation for Crowdsourcing in Social Networks

机译:众所周知的社交网络众包的忠实团队形成

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We study complex task crowdsourcing by team formation in social networks (SNs), where the requester wishes to hire a group of socially close workers that can work together as a team. The workers are selfish that can manipulate the crowdsourcing system by providing unreal private information, which will discourage other workers from participation and is unprofitable for the requester. This paper develops two efficient truthful mechanisms for the small- and large-scale social team crowdsourcing applications, to guarantee each worker's profit is optimized by behaving truthfully.
机译:我们在社交网络(SNS)中的团队形成研究了复杂的任务人群,请求者希望聘请一批可以作为团队共同努力的社会关闭工人。工人是自私的,可以通过提供虚幻的私人信息来操纵众包系统,这将阻止其他工人从参与中并对请求者无利可图。本文为小型和大规​​模社交团队众包应用程序开发了两种有效的真实机制,以保证每个工人的利润通过表现如实地进行优化。

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