VideoRecSys 2024: Large-Scale Video Recommender Systems Workshop
The 2nd Workshop on
Large-Scale Video Recommender Systems
At ACM RecSys '24 Oct 14th, 2024


Invited Speakers

 

Ed Chi

Google
Mountain View, USA
 

Derek Cheng

Google
Mountain View, USA
 

Jiaqi Zhai

Meta
Menlo Park, USA
 

   

Yueming Wang

Meta
Menlo Park, USA
 

Lu Fang

Meta
Menlo Park, USA
 

Vito Ostuni

Netflix
Los Gatos, USA
 

Introduction

The demand for personalized video recommendations has grown exponentially with the widespread use of video content across various domains, including entertainment, e-commerce, education and social media. The explosive growth of video content on the internet, combined with the ubiquitous availability of high-speed internet and advancements in mobile camera technology have made it easier than ever for users to create, access and consume videos. With the proliferation of online social media applications like Instagram, YouTube, Facebook and TikTok, the need for large-scale video recommendation systems which can provide users with personalized and relevant recommendations has increased.

The Large-Scale Video Recommendations workshop (VideoRecSys) acknowledges the vital significance of these systems and the unique challenges and opportunities they present. With the explosive growth of video platforms and the diverse array of user behaviors and preferences, addressing scalability, diversity and serendipity in recommendations becomes a complex yet vital endeavor.

Join us in this workshop where we bring 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.

Schedule

Time Talk
09:05-09:35 CEST Keynote: Putting the "You" in YouTube: Better Personalization through Larger Models [Slides]
Lexi Baugher
Youtube
14:00-14:05 CEST Opening Remarks [Slides]
14:05-14:30 CEST Topic: Actions Speak Louder than Words: Building the next generation recommendation systems [Slides]
Jiaqi Zhai, Yueming Wang
Meta
14:30-15:00 CEST Topic: Data and Model Efficiency for RecSys [Slides]
Derek Cheng, Google
15:00-15:30 CEST Topic: Evolving Recsys Inference at Meta [Slides]
Lu Fang, Meta
15:30-15:45 CEST Coffee Break and Networking
15:45-16:15 CEST Topic: Recommending Live Content at Netflix [Slides]
Vito Ostuni, Netflix
16:15-17:00 CEST Keynote: The Future of Discovery Assistance [Slides]
Ed Chi, Google Deepmind
17:00-17:30 CEST
Panel Discussion
Ed Chi, Google Deepmind
Justin Basilico, Netflix
Chen Zheng, Roblox
Jiajing Xu, Pinterest

Workshop Organizers

 
 
 

Khushhall Chandra Mahajan

Meta
Menlo Park, CA
 

Amey Porobo Dharwadker

Meta
Menlo Park, CA
 

Saurabh Gupta

Meta
Menlo Park, CA
 

Brad Schumitsch

Meta
Menlo Park, CA
 

Contact us

Please send questions and enquiries to videorecsys [at] gmail [dot] com.