Speaker: Gaurav Chakravorty

He / him / his

Uber TL @Meta, Previously Worked on Facebook Video Recommendations and Instagram Friending and Growth

Gaurav is an Uber TL at Meta Inc, previously in Facebook video recommendations and more recently in Instagram friending and growth. He has worked on end-to-end recommender system advances, including user retention modeling. Prior to this, he has led applied ML based initiatives at Discord and Google, and high frequency trading.

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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.

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Date

Monday Nov 18 / 05:05PM PST ( 50 minutes )

Location

Ballroom BC

Topics

AI/ML Recommender Systems Video Recommendations

Video

Video is not available

Slides

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