AI Research Profile Discovery

Assigning the right reviewer to the right paper is one of the hardest parts of running a conference. Track chairs spend hours reading CVs, scanning Google Scholar pages, and guessing who knows what. We built AI Research Profiles to automate this.
How It Works
When a reviewer is invited to a conference, PaperFox runs a public AI web search based on their name, email, affiliation, and country to find their publications — Google Scholar, ORCID, Semantic Scholar, and academic websites. From their recent papers, it extracts expertise keywords and builds a research profile. No manual data entry required.
The reviewer gets an email asking them to verify and refine the results. The whole process takes about 30-60 seconds.
Three Types of Keywords
Each reviewer's profile combines three sources of expertise, each color-coded for clarity:
System Keywords (purple) from submitted papers, and User Expertise Tags (green) added manually
System Keywords (purple) are automatically extracted from papers the reviewer has submitted in PaperFox. These are read-only and stay in sync with their submissions.
User Expertise Tags (green) are added manually by the reviewer. They have full control — add, edit, or remove these anytime.
AI-Discovered Tags (blue) come from the automated web search of their recent publications. These use a mix of broad research areas and specific topics for better matching coverage.
AI-Discovered Tags (blue) extracted from recent publications via web search
All three types are combined when matching reviewers to papers, giving the auto-assignment algorithm a complete picture of each reviewer's expertise.
For Track Chairs
After inviting reviewers, you can monitor profile completion from the reviewer management page. Each reviewer shows a profile status icon — green check for complete, gray for incomplete.
For reviewers who haven't verified their profiles, you can send reminders individually or in bulk. Better profiles lead to better paper-reviewer matches, so it's worth encouraging your reviewers to check their keywords.
For Reviewers
Click your name in the sidebar, then go to Settings > Research Profile. After AI discovery runs, take a minute to:
- Check the AI-discovered tags — remove anything irrelevant, and verify the broad topics make sense
- Add your own tags — fill in expertise areas the AI might have missed
- Verify your research links — make sure your Google Scholar, ORCID, and other profiles are correct
You can re-run AI Profile Discovery anytime to refresh your tags with your latest publications.
Related Docs
- Research Profile — Manage your research profile and expertise keywords
- Invite Reviewers — Invite reviewers and monitor their profile status
- Auto Assign Reviewers — Automatically match papers to reviewers