Deep Interest Network for CTR
Published:
An implementation of the Deep Interest Network (DIN) architecture for click-through rate prediction. This project focuses on modeling user interests dynamically based on historical behavior for improved recommendation accuracy.
Key Features
- Attention mechanism for user interests
- Dynamic interest modeling
- Scalable architecture
- Real-time CTR prediction
Technologies
- TensorFlow/PyTorch
- Attention mechanisms
- Deep learning optimization
- Large-scale data processing