Reviewer Recommender

应用简介

本项目是清华大学计算机科学与技术系知识工程实验室（KEG）开发的国际学术论文评审专家推荐系统插件。该插件在学术论文审稿常用平台ScholarOne系统上开发（目前已提供给《中国科学：信息科学》杂志社的评审专家使用，网址https://mc03.manuscriptcentral.com/scis），能通过网页自动提取论文内容及作者信息，基于Aminer系统（https://aminer.org/）海量学术专家数据，为审稿专家推荐最合适的审稿人。

配置文件

Code

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