HugeCTR

Recommendation models have progressed rapidly in recent years due to advances in deep learning and the use of vector embeddings. The growing complexity of...

Recommendation systems are widely used today to personalize user experiences and improve customer engagement in various settings like e-commerce, social media,...

Recommender systems are the economic engine of the Internet. It is hard to imagine any other type of applications with more direct impact in our daily digital...

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

Click-through rate (CTR) estimation is one of the most critical components of modern recommender systems. As the volume of data and its complexity grow...

Recommender systems are ubiquitous in online platforms, helping users navigate through an exponentially growing number of goods and services. These models are...

Recommender systems drive every action that you take online, from the selection of this web page that you’re reading now to more obvious examples like online...