An open-source framework for ExpFinder integrating $N$-gram Vector Space Model and $μ$CO-HITS

Abstract

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 (nVSM) and a graph-based model (µCO-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 as presented in [1].