VideoRecSys + LargeRecSys

The joint workshop for Large Scale Recommender Systems and Large Scale Video Recommender Systems, held in conjunction with the 2024 ACM conference on Recommender Systems


LargeRecSys is a workshop on large-scale recommender systems, aiming to bridge the gap between state-of-the-art RecSys research and the practical demands of operating large recommender systems at scale. We are going to invite researchers and practitioners from both industry and academia to engage in discussions and challenges inherent in large-scale recommender systems.

Additionally, we invite contributions and submissions from practioners working on large scale recommender systems to submit contributed talk/poster proposals.

Find out more about LargeRecSys here!


The Large-Scale Video Recommendations workshop (VideoRecSys) brings together renowned researchers and industry experts in the field to delve into the latest advancements, cutting-edge techniques and innovative approaches that are shaping the future of large-scale video recommender systems. Through insightful discussions, engaging presentations and collaborative networking, we aim to foster a deeper understanding of the field's intricacies and collectively chart a course towards more effective, responsible and impactful video recommendations.

Find out more about VideoRecSys here!

Khushhall Chandra Mahajan

Meta, Menlo Park, CA, USA

Amey Porobo Dharwadker

Meta, Menlo Park, CA, USA

Saurabh Gupta

Meta, Menlo Park, CA, USA

Brad Schumitsch

Meta, Menlo Park, CA, USA

Arnab Bhadury

Google, Vancouver, BC, Canada

Ding Tong

Netflix, Los Gatos, CA, USA

Ko-Jen (Mark) Hsiao

Netflix, Los Gatos, CA, USA

Liang Liu

Google, Mountain View, CA, USA

Contact Us!

If you have any questions or suggestions, please reach out to us!