NVIDIA at RecSys 2022

Learn about NVIDIA Merlin^™, an open source framework for building recommender systems. Merlin empowers data scientists, machine learning engineers, and researchers to build high-performing recommenders at scale.

With the Merlin Models library, access common architectures that can be coupled with different prediction tasks, loss functions, and negative sampling strategies to ease development and deployment.

During this NVIDIA AI online event, join fellow data scientists and engineers from Netflix, Twitter, NVIDIA, and more to discuss learnings and best practices on building and deploying effective recommender systems.

In this blog, we cover sequential and session-based recommendation tasks, including why it’s important and practical use cases. We also provide a brief overview of our Transformers4Rec solution.

Industry challenges help advance the recommender system field for everyone. NVIDIA’s wins are fueling ideas for new techniques into recsys frameworks like NVIDIA Merlin.

Read about the latest trends for recommender system practices within industry. The whitepaper includes insights from industry leads from companies such as Tencent, Meituan, Wayfair, Magazine Luiza, The New York Times, and more