shivays-hybrid-recommender-v1 1.0.0

Hybrid ML recommendation engine

ML Recommendation Engine - Hybrid

A production-grade hybrid recommendation engine combining collaborative filtering, content-based filtering, and deep learning approaches.

🚀 Features

• Collaborative Filtering: Matrix factorization, Neural CF
• Content-Based: TF-IDF, embeddings
• Deep Learning: Two-tower architecture, attention
• Real-time Serving: FastAPI inference service
• A/B Testing: Experiment framework

📁 Structure

ml-recommendation-engine-hybrid/
├── src/
│   ├── models/           # ML models
│   ├── data/             # Data processing
│   ├── training/         # Training logic
│   ├── serving/          # API server
│   └── evaluation/       # Metrics
├── tests/
├── notebooks/
└── configs/

🛠️ Installation

pip install -r requirements.txt
python -m src.training.train --config configs/hybrid.yaml
python -m src.serving.app

📄 License

MIT License