Embeddings play a key role in deep learning recommender models. They are used to map encoded categorical inputs in data to numerical values that can be... 8 MIN READ

Deep learning recommender systems often use large embedding tables. It can be difficult to fit them in GPU memory. This post shows you how to use a combination... 13 MIN READ

NVIDIA Merlin is an open beta application framework and ecosystem that enables the end-to-end development of recommender systems, from data preprocessing to... 9 MIN READ

Recommender systems help people find what they’re looking for among an exponentially growing number of options. They are a critical component for driving user... 16 MIN READ