This session shows how to:
- Build deep learning based recommender models with Collie framework
- Train different models on implicit feedback:
- Matrix Factorization
- Neural Collaborative Filtering
- Hybrid Multi Stage
- Train Matrix Factorization on explicit feedback
- Make similar item prediction (for new items)
- python 3.8
- pip
pip install -r requirements.txt
Speaker: Raid Arfua