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

Hung Du; Yong-Bin Kang

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

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arxiv 2103.00917 v2 pith:LGWDO24L submitted 2021-03-01 cs.IR cs.MScs.SE

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

Hung Du , Yong-Bin Kang This is my paper

classification cs.IR cs.MScs.SE

keywords findingmodelexpertexpfinderco-hitsgramintegratingresearch

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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.

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

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