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

Hung Du; Yong-Bin Kang

paper

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

arXiv:2103.00917

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 ( $n$ VSM) and a graph-based model ( $μ$ 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.

9 pages, 4 figures, "Submitted to Software Impacts"

An open-source framework for ExpFinder integrating N-gram Vector Space Model and μCO-HITS

Abstract

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