An advanced machine learning recommendation engine providing personalized product recommendations using collaborative filtering, content-based filtering, and hybrid approaches.
Key Features:
- Collaborative filtering algorithms
- Content-based recommendation
- Hybrid recommendation approach
- Real-time recommendation API
- A/B testing framework
- Performance monitoring
- Scalable architecture
- Integration with existing e-commerce platforms
Technologies Used:
- ML: Python, Scikit-learn, TensorFlow, Pandas
- API: FastAPI, Redis for caching
- Database: PostgreSQL, Elasticsearch
- Deployment: Docker, Kubernetes
- Monitoring: MLflow, Prometheus
- Cloud: AWS SageMaker
