ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136
Chai Time Data Science
English - July 31, 2021 15:20 - 1 hour - 152 MB - ★★★★★ - 12 ratingsTechnology Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Video Version: https://youtu.be/W3aWEXqIkWk
Blog Overview: http://sanyambhutani.com/interview-with-the-nvidia-acm-recsys-2021-winning-team
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In this Episode, Sanyam Bhutani interviews a panel from the ACM RecSys Winning competition team at NVIDIA.
They explain why are RecSys systems such a hard problem, how can GPUs accelerate these, how do we productize such solutions.
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
Links:
Interview with Even Oldridge: https://youtu.be/-WzXIV8P_Jk
Interview with Chris Deotte: https://youtu.be/QGCvycOXs2M
Open Source Solution: https://github.com/NVIDIA-Merlin/competitions/tree/main/RecSys2021_Challenge
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
Follow:
Benedikt Schifferer:
Linkedin: https://www.linkedin.com/in/benedikt-schifferer/
Bo Liu:
Twitter: https://twitter.com/boliu0
Kaggle: https://www.kaggle.com/boliu0
Chris Deotte:
Twitter: https://twitter.com/ChrisDeotte
Kaggle: https://www.kaggle.com/cdeotte
Even Oldridge
Twitter: https://twitter.com/even_oldridge
Linkedin: https://www.linkedin.com/in/even-oldridge/
Sanyam Bhutani:
https://twitter.com/bhutanisanyam1
Blog: sanyambhutani.com
About:
https://sanyambhutani.com/tag/chaitimedatascience/
A show for Interviews with Practitioners, Kagglers & Researchers, and all things Data Science hosted by Sanyam Bhutani.