Speaker: Moumita Bhattacharya

Senior Research Scientist @Netflix, Previously @Etsy, Specialized in Machine Learning, Deep Learning, Big Data, Scala, Tensorflow, and Python

Moumita Bhattacharya is a senior Research Scientist at Netflix, where she works on developing at-scale machine learning models for Search and Recommendation Systems. Prior to Netflix, she was a Senior Applied Scientist at Etsy, where she was tech leading a team that developed recommendation systems to show relevant products to Etsy users. Moumita has a PhD in Computer Science with a focus on Machine Learning and its applications. She has been actively serving as Program Committees for WebConf and is a reviewer for conferences such as RecSys, SIGIR, WebConf, AAAI, and various journals. Moumita is also an adjunct faculty in the Data Science Institute (DSI) of the University of Delaware.

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Session

Foundation Models for Recommenders: Challenges, Successes, and Lessons Learned

Recommender systems are an integral part of most products nowadays and are often a key driver of discovery for users of the product.

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