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协同网络中专家行为分析

Analyzing Expert Behaviors in Collaborative Networks
课程网址: http://videolectures.net/kdd2014_sun_collaborative_networks/  
主讲教师: Huan Sun
开课单位: 加州大学
开课时间: 2014-10-07
课程语种: 英语
中文简介:

协作网络由专家组成,他们相互协作以完成特定任务,例如解决客户报告的问题。任务被发布,然后在网络中从专家路由到另一个任务,直到被解决。当专家无法解决任务时,他的路由决策(即,将任务转移到何处)至关重要,因为它会严重影响任务的完成时间。在这项工作中,我们试图推导任务路由的认知过程,并将专家的决策建模为生成过程,其中基于混合路由模式做出路由决策。

尤其是,我们观察到这是一个有趣的现象,专家倾向于将任务转移给知识与自己的知识既不太相似也不太不同的人。基于此观察,开发了基于专业知识差异的路由模式。我们通过考虑任务的合理和随机分析来形式化多种路由模式,并提出了一种生成模型来将它们组合起来。对于一组暂存的任务,我们的模型不仅很好地解释了它们的实际路由顺序,而且还准确地预测了它们的完成时间。在三种不同的质量衡量标准下,我们的方法以超过75%的精度获得了明显优于所有其他方法的结果。在实践中,借助我们的模型,可以快速可靠地测试有关如何改进协作网络的假设,从而显着缓解协作网络的性能改进。

课程简介: Collaborative networks are composed of experts who cooperate with each other to complete specific tasks, such as resolving problems reported by customers. A task is posted and subsequently routed in the network from an expert to another until being resolved. When an expert cannot solve a task, his routing decision (i.e., where to transfer a task) is critical since it can significantly affect the completion time of a task. In this work, we attempt to deduce the cognitive process of task routing, and model the decision making of experts as a generative process where a routing decision is made based on mixed routing patterns. In particular, we observe an interesting phenomenon that an expert tends to transfer a task to someone whose knowledge is neither too similar to nor too different from his own. Based on this observation, an expertise difference based routing pattern is developed. We formalize multiple routing patterns by taking into account both rational and random analysis of tasks, and present a generative model to combine them. For a held-out set of tasks, our model not only explains their real routing sequences very well, but also accurately predicts their completion time. Under three different quality measures, our method significantly outperforms all the alternatives with more than 75% accuracy gain. In practice, with the help of our model, hypotheses on how to improve a collaborative network can be tested quickly and reliably, thereby significantly easing performance improvement of collaborative networks.
关 键 词: 协同网络; 决策建模
课程来源: 视频讲座网
数据采集: 2020-11-06:zyk
最后编审: 2020-11-06:zyk
阅读次数: 29