Getting started - Session-based recommendation with Synthetic Data

This example notebook is focusing primarily on the basic concepts of Transformers4Rec, which includes:

• Generating synthetic data of user interactions

• Preprocessing sequential data with NVTabular on GPU

• Using the NVTabular dataloader with Pytorch

• Training a session-based recommendation model with a Transformer architecture (XLNET)

Notebooks

• ETL with NVTabular
• Session based XLNet with PyTorch