R

Recommendation Engine

E-Commerce Recommendation System

Advanced ML-powered product recommendations using collaborative filtering, content-based filtering, and hybrid approaches

💡 New to this demo? Click the "🎲 Get Random User" button in the form to automatically fill in a sample customer ID, or use the quick-select links below the input field.

🧠
3
ML Models
👥
99K+
Users
📦
33K+
Products
🔄
112K+
Interactions

Get Recommendations

Click 'Get Random User' to auto-fill with a sample customer ID

Combines both approaches for best results

💡 Tip: Try different models to compare their recommendations

Enter a user ID and click "Get Recommendations" to see personalized product suggestions

Model Performance Comparison

Collaborative Filtering

Based on user-item interaction patterns

0.0%

Content-Based

Based on product features and similarity

0.0%

Hybrid

Combines collaborative and content-based

0.0%

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