ExpFinder: A hybrid model for expert finding from text-based expertise data

作者：

Highlights：

• We propose a hybrid model, ExpFinder, for expert finding from expertise text data.

• ExpFinder integrates a novel n-gram vector space model and an extension of CO-HITS.

• ExpFinder achieves a very high performance over 6 competitive models on 4 datasets.

摘要

•We propose a hybrid model, ExpFinder, for expert finding from expertise text data.•ExpFinder integrates a novel n-gram vector space model and an extension of CO-HITS.•ExpFinder achieves a very high performance over 6 competitive models on 4 datasets.

论文关键词：ExpFinder,Expert finding,Expert collaboration graph,Bipartite graph,Text-based expertise,Co-hits

论文评审过程：Received 4 September 2021, Revised 23 August 2022, Accepted 23 August 2022, Available online 29 August 2022, Version of Record 5 September 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118691