Reviewer Recommender is a research paper reviewer recommendation system developed by Knowledge Engineering Group (KEG), Tsinghua University. It is a Chrome Extension which works on ScholarOne Reviewer System. It can automatically extract paper information, and recommend proper reviewers based on academic big data from Aminer (https://aminer.org/). Reviewer Recommender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，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，为每篇论文推荐最合适的审稿人。
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