Recommendation Engine
Advanced collaborative filtering and content-based recommendation system
Timeline
2024 • 4 months
Role
ML Engineer
Key Metrics
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Summary
An advanced recommendation system combining collaborative filtering and content-based approaches for e-commerce. Uses matrix factorization and deep learning to provide highly personalized product suggestions with high accuracy.
Tech Stack
PythonMLNeural NetworksTensorFlowRedisFastAPI
Key Features
- Collaborative filtering
- Content-based recommendations
- Matrix factorization
- Deep learning models
- Real-time recommendations
- A/B testing framework
What I did
- Implemented recommendation algorithms
- Built model training pipeline
- Optimized for real-time inference
- Created evaluation framework