Reviewer Recommender: An Overview

Reviewer Recommender is a cutting-edge research paper reviewer recommendation system developed by the Knowledge Engineering Group at Tsinghua University. This AI-driven Chrome extension facilitates the process of identifying suitable reviewers for academic papers, leveraging advanced algorithms and extensive academic big data.

Reviewer Recommender: Main Features

1. Automated extraction of paper information
2. Recommendation of appropriate reviewers based on comprehensive academic big data

Reviewer Recommender: User Guide

1. Install the Reviewer Recommender Chrome Extension from the Chrome Web Store.
2. Access the extension while using the ScholarOne Reviewer System.
3. Input necessary details about your research paper.
4. Receive a list of recommended reviewers tailored to your paper's content.
5. Select your preferred reviewers from the provided list.

Reviewer Recommender: Pricing

Currently, there is no specific pricing information available for Reviewer Recommender.

Reviewer Recommender: User Reviews

• "The Reviewer Recommender has streamlined my search for suitable reviewers. It's incredibly efficient!" - Dr. Emily Tran
• "I appreciate the automated features that save me time when submitting papers." - Prof. Michael Chen