协同移动众包系统中的团队招募策略优化
Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems
摘要：
移动设备的广泛传播已经实现了称为移动众包（MCS）的新的创新范例，其中概念是允许实体，例如，个人或地方当局，雇用工人来帮助连接的人群，执行任务或服务。一些复杂的任务需要多个工作人员的协作，以确保其成功完成。在这种情况下，任务请求者需要雇用一组社会联系和协作的工人，同时具有足够的技能来完成任务。在本文中，我们开发了两种招聘策略的协作MCS框架中，虚拟团队形成根据四个不同的标准：专业知识水平，社会关系强度，招聘成本，和招聘人员的信心水平。第一个建议的战略是一个基于平台的方法，利用平台知识，形成团队。第二种是基于领导者的方法，使用团队成员对他们的社交网络（SN）邻居的知识来指定一个组领导者，该领导者招募合适的团队。这两种方法都建模为整数线性规划，从而在最佳的团队形成。实验结果表明，当改变成员的SN边缘度时，两种虚拟团队分组策略之间的性能折衷。与基于领导者的策略相比，基于平台的策略招募了一支技能更高的团队，但SN关系更低，成本更高。
英文摘要：
The wide spread of mobile devices has enabled a new paradigm of innovation called Mobile Crowdsourcing (MCS) where the concept is to allow entities, e.g., individuals or local authorities, to hire workers to help from the crowd of connected people, to execute a task or service. Some complex tasks require the collaboration of multiple workers to ensure its successful completion. In this context, the task requester needs to hire a group of socially connected and collaborative workers that, at the same time, have sufficient skills to accomplish the task. In this paper, we develop two recruitment strategies for collaborative MCS frameworks in which, virtual teams are formed according to four different criteria: level of expertise, social relationship strength, recruitment cost, and recruiter's confidence level. The first proposed strategy is a platform-based approach which exploits the platform knowledge to form the team. The second one is a leader-based approach that uses team members' knowledge about their social network (SN) neighbors to designate a group leader that recruits its suitable team. Both approaches are modeled as integer linear programs resulting in optimal team formation. Experimental results show a performance trade-off between the two virtual team grouping strategies when varying the members SN edge degree. Compared to the leader-based strategy, the platform-based strategy recruits a more skilled team but with lower SN relationships and higher cost.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
