BROADCASTS.com

Published: July 31, 2021, 3:20 p.m.

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Video Version: https://youtu.be/W3aWEXqIkWk

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Blog Overview: http://sanyambhutani.com/interview-with-the-nvidia-acm-recsys-2021-winning-team

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Subscribe here to the newsletter: https://tinyletter.com/sanyambhutani

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In this Episode, Sanyam Bhutani interviews a panel from the ACM RecSys Winning competition team at NVIDIA.

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They explain why are RecSys systems such a hard problem, how can GPUs accelerate these, how do we productize such solutions.

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The team also does a ground basic to a complete overview of their solution. They understand the team's approaches to the problem, how did they arrive at the solution, and the tricks that they discovered and very generously shared in this interview

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Links:

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Interview with Even Oldridge: https://youtu.be/-WzXIV8P_Jk

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Interview with Chris Deotte: https://youtu.be/QGCvycOXs2M

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Open Source Solution: https://github.com/NVIDIA-Merlin/competitions/tree/main/RecSys2021_Challenge

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Paper Link: https://github.com/NVIDIA-Merlin/competitions/blob/main/RecSys2021_Challenge/GPU-Accelerated-Boosted-Trees-and-Deep-Neural-Networks-for-Better-Recommender-Systems.pdf

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Follow:

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Benedikt Schifferer:

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Linkedin: https://www.linkedin.com/in/benedikt-schifferer/

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Bo Liu:

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Twitter: https://twitter.com/boliu0

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Kaggle: https://www.kaggle.com/boliu0

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Chris Deotte:

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Twitter: https://twitter.com/ChrisDeotte

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Kaggle: https://www.kaggle.com/cdeotte

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Even Oldridge

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Twitter: https://twitter.com/even_oldridge

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Linkedin: https://www.linkedin.com/in/even-oldridge/

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Sanyam Bhutani:

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https://twitter.com/bhutanisanyam1

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Blog: sanyambhutani.com

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About:

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https://sanyambhutani.com/tag/chaitimedatascience/

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A show for Interviews with Practitioners, Kagglers & Researchers, and all things Data Science hosted by Sanyam Bhutani. 

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