Reviewer Recommender

Reviewer Recommender 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 is an international research paper reviewer recommendation extension developed by the Knowledge Engineering Group (KEG) of Tsinghua University's Department of Computer Science and Technology. Built for ScholarOne, a platform commonly used for academic peer review, it automatically extracts paper content and author information from web pages and recommends the most suitable reviewers for each paper using Aminer's extensive academic expert data (https://aminer.org/).