Reviewer Recommender
216 users
Developer: unknown
Version: 3.0.10
Updated: August 3, 2020
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from system. 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。 big developed system group reviewer chrome works on university. recommend recommendation and extension data (keg), is reviewer it paper scholarone extract is reviewer which aminer (https://aminer.org/). on a knowledge a automatically it proper research reviewers tsinghua information, engineering can recommender academic by paper based reviewer
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