Team Expansion in Collaborative Environments
Team Expansion in Collaborative Environments
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DOI：
10.1007/978-3-319-93040-4_56
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发表时间：
2018-06
期刊：
影响因子：
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通讯作者：
Lun Zhao;Yuan Yao;G. Guo;Hanghang Tong;Feng Xu;Jian Lu
中科院分区：
文献类型：
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作者：
Lun Zhao;Yuan Yao;G. Guo;Hanghang Tong;Feng Xu;Jian Lu
在本文中，我们研究的团队扩展问题的协作环境中，人们相互协作的形式，一个团队，这可能需要经常扩大有额外的团队成员在项目的过程中。直觉上，有三个因素以及它们之间的相互作用对扩展团队的绩效产生了深远的影响，包括（1）团队正在执行的任务，（2）现有的团队成员，（3）新的候选团队成员。然而，绝大多数现有的工作要么单独考虑这些因素，甚至忽略了其中的一些因素。在本文中，我们提出了一种基于神经网络的方法TECE同时建模的团队任务，团队成员以及候选团队成员之间的相互作用。在真实数据集上的实验验证了该方法的有效性。
In this paper, we study the team expansion problem in collaborative environments where people collaborate with each other in the form of a team, which might need to be expanded frequently by having additional team members during the course of the project. Intuitively, there are three factors as well as the interactions between them that have a profound impact on the performance of the expanded team, including (1) the task the team is performing, (2) the existing team members, and (3) the new candidate team member. However, the vast majority of the existing work either considers these factors separately, or even ignores some of these factors. In this paper, we propose a neural network based approachTECEto simultaneously model the interactions between the team task, the team members as well as the candidate team members. Experimental evaluations on real-world datasets demonstrate the effectiveness of the proposed approach.