Reviewer Recommender
AI Research PapersTags
Introduction
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。
How To Use
The Reviewer Recommender is a Chrome Extension that integrates with the ScholarOne Reviewer System. Once installed, it automatically extracts paper information from the ScholarOne platform and uses data from Aminer to suggest suitable reviewers.
Pricing
| Packages | Pricing | Features |
|---|---|---|
| Free Edition | Free | Unlimited public repositories, limited private repositories |
| Team Edition | $4/user/month | Unlimited private repositories, basic features |
| Enterprise Edition | $21/user/month | Advanced security and auditing features |
