Web Risk Info
Web Risk Info
Stay safe when browsing the Internet by getting information about the reliability of sites in real time.
Web Risk Info
Web Risk Info
Stay safe when browsing the Internet by getting information about the reliability of sites in real time

Reviewer Recommender

★★★★★
★★★★★
216 users

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
Related