DeepReads
Explainable
AI Recommendations
A Two-Tower neural recommender trained on Amazon Books — powered by BPR loss, metadata-grounded explanations, and benchmarked against classical and popularity baselines.
Choose a Persona
Select a demo user profile to see personalized recommendations, or build your own by picking items manually.
Your Recommendations
Powered by our best-performing Two-Tower neural network.
Select a persona above to get personalized book recommendations.
Select a persona and click Get Recommendations to see personalized results.
Model Comparison
See how all three models rank books differently for the same user. Items appearing in all three lists are highlighted.
Select a persona first, then compare all three models side-by-side.
Naive (Popularity)
Recommends globally popular items
Classical (LightGBM)
Feature-based reranker with SHAP
Deep (Two-Tower)
Neural embeddings with BPR loss