Reviewer Recommender

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(keg), a which aminer information, scholarone research and it reviewer on developed university. can works recommend paper group extension based a big 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。 data automatically engineering on reviewers by recommender (https://aminer.org/). academic reviewer reviewer extract recommendation system is is it paper system. from chrome tsinghua knowledge proper reviewer
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