Originally published at: Better Predictions at Scale with Merlin | NVIDIA Technical Blog
Data scientists, researchers, and machine learning engineers seek to provide relevant and impactful insights. With the increasing availability of large datasets, industry practitioners building effective recommenders are evaluating deep learning methods versus the traditional content-based, neighborhood, and latent factor methods. This consideration is often driven by the need for better predictions coupled with the desire…