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Reviewer assignment algorithms for peer review automation: A survey
Information Processing & Management ( IF 8.6 ) Pub Date : 2022-08-03 , DOI: 10.1016/j.ipm.2022.103028
Xiquan Zhao, Yangsen Zhang

Assigning paper to suitable reviewers is of great significance to ensure the accuracy and fairness of peer review results. In the past three decades, many researchers have made a wealth of achievements on the reviewer assignment problem (RAP). In this survey, we provide a comprehensive review of the primary research achievements on reviewer assignment algorithm from 1992 to 2022. Specially, this survey first discusses the background and necessity of automatic reviewer assignment, and then systematically summarize the existing research work from three aspects, i.e., construction of candidate reviewer database, computation of matching degree between reviewers and papers, and reviewer assignment optimization algorithm, with objective comments on the advantages and disadvantages of the current algorithms. Afterwards, the evaluation metrics and datasets of reviewer assignment algorithm are summarized. To conclude, we prospect the potential research directions of RAP. Since there are few comprehensive survey papers on reviewer assignment algorithm in the past ten years, this survey can serve as a valuable reference for the related researchers and peer review organizers.



中文翻译:

同行评审自动化的评审员分配算法:一项调查

将论文分配给合适的审稿人对于确保同行评审结果的准确性和公平性具有重要意义。在过去的三十年里,许多研究人员在审稿人分配问题(RAP)上取得了丰硕的成果。在本次调查中,我们对 1992 年至 2022 年审稿人分配算法的主要研究成果进行了全面回顾。特别是,本次调查首先讨论了自动审稿人分配的背景和必要性,然后从三个方面系统地总结了现有的研究工作,即候选审稿人数据库的构建,审稿人与论文匹配度的计算,审稿人分配优化算法,客观评价现有算法的优缺点。然后,总结了reviewer assignment算法的评价指标和数据集。最后,我们展望了RAP的潜在研究方向。由于近十年来很少有关于审稿人分配算法的综合性调查论文,本调查可以作为相关研究人员和同行评审组织者的宝贵参考。

更新日期:2022-08-03
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