Why do I see many "No Recommendations"?

If you’re seeing a lot of “No Recommendation” labels, that just means the system doesn’t yet have enough information to generate confident predictions.

Rayyan’s AI learns from your decisions — the more data you provide through screening, the smarter it gets!

🤖 Why do I need to make decisions for the AI to work?

Rayyan’s Prediction Classifier is powered by machine learning, which improves as it learns from your screening behavior.

To get things going, the AI needs:

• ✅ At least 50 decisions

• ➕ Minimum 5 “Include”

• ➖ Minimum 5 “Exclude”

If you’re working with a large dataset, you may need to go beyond 50 decisions for the system to generate reliable predictions.

👥 How does collaboration affect the predictions?

Working with teammates? Great — Rayyan will learn from everyone’s screening decisions.

But if your team’s decisions aren’t consistent (e.g., one reviewer includes what another excludes), the system won’t be able to prioritize a clear prediction. In those cases, it may display more “No Recommendation” results until the overall pattern becomes more aligned.

Consistency across the team improves the system’s ability to generate accurate predictions.

🔁 Can I improve the predictions over time?

Absolutely! Once you’ve run your first prediction, you can continue making decisions and re-run the computation anytime to refine the results.

⏱️ Just make sure to wait at least 10 minutes between runs, so the system has time to process and update everything properly.

👀 Where will I see the predictions?

Predictions only appear on articles that are still undecided.

If you’ve already included or excluded a reference, it won’t display a prediction — the system is focused on helping you tackle what’s left in your screening queue.

If you’re still seeing a high number of “No Recommendations,” try adding more Include/Exclude decisions and then re-run the computation. It gets smarter with you.

💬 Still Need Help?

We’re here for you. Submit a support ticket and we’ll assist you personally.

And don’t forget to follow us on Twitter @rayyanapp for updates, tips, and tricks!