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Speaker: Saurabh Gupta
Senior Engineering Leader @Meta, Veteran in the Video Recommendations Domain, Helping Scale Video Consumption
Saurabh Gupta is a Senior Engineering Leader at Meta Inc. He leads the video recommendations core ranking organization which is directly responsible for serving personalized video recommendations to billions of users on Facebook. These video recommendations constitute one third of time consumed by all users on Facebook app. He is a veteran in the video recommendations domain and has helped scale video consumption by many folds on Facebook in the last 9+ years. His work focuses on building scalable retrieval systems, understanding user interests, building large scale ML models to predict user actions and delivering personalized and highly relevant video feeds involving short form and long form videos on parts of Facebook app. He received his M.S. in Computer Science with specialization in Machine Learning from Georgia Institute of Technology. He holds several US patents and many more in pipeline in areas of machine learning, recommendations and software engineering.
Session
Reinforcement Learning for User Retention in Large-Scale Recommendation Systems
This talk explores the application of reinforcement learning (RL) in large-scale recommendation systems to optimize user retention at scale - the true north star of effective recommendation engines.