NVIDIA at RecSys 2021

Sept 27 - Oct 1, 2021

Join NVIDIA online at the 15th annual ACM Conference on Recommender Systems (RecSys 2021) to see how new research results, methods, libraries, and techniques in the broad field of recommender systems are driving our future. We’ll feature our own virtual theater with speakers from a variety of leading industries and domains, along with demos, related content, and more. Stay tuned for more information.

Conference Schedule at a Glance

At RecSys 2021, you can explore a range of groundbreaking work in the field of recommender systems. Take a closer look at the scheduled NVIDIA sessions that are part of this year’s program.

End-to-End Session-Based Recommendation on GPU

9:30 - 1:00 p.m. CEST
GPU Accelerated Boosted Trees and Deep Neural Networks for Better Recommender Systems
(Research Paper)

9:30 - 7:30 p.m. CEST
Knowledge Graph Attention for Sequential Recommendations
(Research Paper)

3:00 - 7:00 p.m. CEST
Coffee Break

3:30 - 4:00 p.m. CEST
Transformers4Rec: Bridging the Gap between NLP and Sequential / Session-Based Recommendation
(Research Paper)

4:00 - 4:30 p.m. CEST
Coffee Break

5:30 - 6:00 p.m. CEST

Don’t miss a session. Register now for RecSys 2021.

Virtual Theater

Hear from industry leaders, data scientists, and engineers as they explain their groundbreaking work for building, deploying, and optimizing recommender systems.

 Virtual Theater - On-demand Talks at your place

Top Recommender System Resources



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

 NVIDIA Wins RecSys Challenges

NVIDIA Wins RecSys Challenges

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

Neural Networks for Your Recommender System

Using Neural Networks for Your Recommender System

Deep learning methods provide better prediction at scale for building recommenders. Learn how these methods used by our award-winning recommender system team could be the key to optimizing your recommender system.

Congratulations to our Contest Winners!

This year, the NVIDIA KGMON, Merlin, and RAPIDS.AI team earned first place in the ACM RecSys2021 Challenge, SIGIR eCom Data Challenge, and Booking.com Challenge. Congratulations to all of our participants!

Booking.com Challenge

Benedikt Schifferer
Chris Deotte
Jean-Francois Puget
Gabriel de Souza Pereira Moreira
Gilberto Titericz
Jiwei Liu
Ronay Ak 

ACM RecSys Challenge

Chris Deotte
Bo Liu
Benedikt Schifferer
Gilberto Titericz
Ronay Ak
Jiwei Liu
Gabriel De Souza Pereira Moreira

SIGIR eCom Data Challenge

Ronay Ak
Sara Rabhi 
Md Yasin Kabir
Gabriel Moreira

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NVIDIA Deep Learning Institute (DLI)

Get Hands-On Training in AI, HPC, Accelerated Data Science, and more

Develop the skills you need to do your life’s work through the NVIDIA Deep Learning Institute (DLI). Choose from an extensive catalog of hands-on, instructor-led workshops or self-paced online training, and benefit from access to GPUs in the cloud. You can also take select courses that provide a certificate of competency to support your professional career growth.

Popular Self-Paced Courses

Getting Started with Deep Learning
Accelerating End-to-End Data Science Workflows

Instructor-led Workshops:

Building Transformer-Based Natural Language Processing Applications
Join at GTC on November 8th. Register now

Building Intelligent Recommender Systems
Public workshop on November 23rd
Register now and use code DLIRECSYS21 to receive 25% discount

Building Conversational AI Applications
Public workshop on November 24th 
Register now and use code DLIRECSYS21 to receive 25% discount

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