The objective of this class is to present deep representation learning methods for recommendation task. This class was presented at SFdS.
- Practical exercise on building deep network for recommendation
- Learning item representation using Convolution Neural Network
- Practical exercise on adding movie poster representation into deep network
- Learning user representation using Recurrent Neural Network
The practical exercise shows how to build deep network for recommendation on MovieLens 1M dataset.
AWS EC2 public image: ami-49cff25f is configured to run the exercise.