ACM RecSys Winning Solution: Benedikt Schifferer, Bo Liu, Chris Deotte, Even Oldridge #136 Chai Time Data Science

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



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



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



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.