Recommendations
Papers picked for you
Personalized paper recommendations based on your reading history and saved collections.
Built for the way research actually happens
Recommendations learns from the papers you read, the collections you build, and the authors you follow — and suggests new papers you might have missed. The recommendation engine runs on the topics, methods, and citation patterns of what you have already engaged with.
Every recommendation comes with an explanation: "Recommended because you read X, Y, and Z." You can mark a recommendation as relevant or not relevant, which improves future suggestions. Recommendations refresh weekly, so there is always something new to look at.
Three steps, every time
- 01
Read and collect
The more you read and save, the better recommendations get.
- 02
Review your feed
Open the Recommendations feed for a weekly refresh of suggested papers.
- 03
Give feedback
Mark recommendations as relevant or not to improve future suggestions.
What this gives you
- Personalized recommendations based on reading history
- Every recommendation comes with an explanation
- Feedback improves future suggestions
- Weekly refresh keeps the feed fresh
Pairs well with
Try Recommendations today
Sign up free and start using Recommendations with your own research library.