Finding experts drives successful collaborations and high-quality product development in academic and research domains. To contribute to the expert finding research community, we have developed ExpFinder which is a novel ensemble model for expert finding by integrating an $N$-gram vector space model ($n$VSM) and a graph-based model ($\mu$CO-HITS). This paper provides descriptions of ExpFinder's architecture, key components, functionalities, and illustrative examples. ExpFinder is an effective and competitive model for expert finding, significantly outperforming a number of expert finding models.
翻译:为了对专家调研界作出贡献,我们开发了ExpFinder,这是专家发现的一种新颖的混合模型,通过整合一个以美元为单位的矢量空间模型(N$VSM)和一个以图表为基础的模型($\mu$CO-HITS),本文介绍了Expinder的架构、关键组成部分、功能和说明性实例。