Getting Started with Movielens

The MovieLens25M is a popular dataset for recommender systems and is used in academic publications. Most users are familiar with the dataset and the example notebooks teach the basic concepts of NVTabular:

  • Learning NVTabular for using GPU-accelerated ETL (Preprocess and Feature Engineering).

  • Getting familiar with NVTabular’s high-level API.

  • Using single-hot/multi-hot categorical input features with NVTabular.

  • Using NVTabular dataloader with TensorFlow Keras model.

  • Using NVTabular dataloader with PyTorch.

Refer to the following notebooks: