PodParley PodParley
PodParley
How Data Scientists Use Graph Neural Networks for Recommendation episode artwork

EPISODE · Jul 4, 2026 · 11 MIN

How Data Scientists Use Graph Neural Networks for Recommendation

from The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations · host Fexingo

Lucas and Luna explore how graph neural networks are transforming recommendation systems, using the example of Pinterest's PinSage model. They break down how GNNs capture relational data like user-item interactions to generate high-quality recommendations, discuss the challenges of scaling to billions of nodes, and compare GNN-based approaches to traditional collaborative filtering. The episode includes a concrete explanation of message-passing in graphs and real-world performance metrics from Pinterest's deployment. #GraphNeuralNetworks #RecommendationSystems #Pinterest #PinSage #MachineLearning #DataScience #Technology #CollaborativeFiltering #MessagePassing #NodeEmbeddings #GraphConvolution #Scaling #UserItemGraph #IndustrialML #Personalization #FexingoBusiness #BusinessPodcast #DataDriven Keep every episode free: buymeacoffee.com/fexingo

Episode metadata supplied by the publisher feed · Published Jul 4, 2026

What this episode covers

Lucas and Luna explore how graph neural networks are transforming recommendation systems, using the example of Pinterest's PinSage model. They break down how GNNs capture relational data like user-item interactions to generate high-quality recommendations, discuss the challenges of scaling to billions of nodes, and compare GNN-based approaches to traditional collaborative filtering. The episode includes a concrete explanation of message-passing in graphs and real-world performance metrics from Pinterest's deployment. #GraphNeuralNetworks #RecommendationSystems #Pinterest #PinSage #MachineLearning #DataScience #Technology #CollaborativeFiltering #MessagePassing #NodeEmbeddings #GraphConvolution #Scaling #UserItemGraph #IndustrialML #Personalization #FexingoBusiness #BusinessPodcast #DataDriven Keep every episode free: buymeacoffee.com/fexingo

PodParley-generated summary based on available episode metadata and transcript content.

NOW PLAYING

How Data Scientists Use Graph Neural Networks for Recommendation

0:00 11:01

No transcript for this episode yet

We transcribe on demand. Request one and we'll notify you when it's ready — usually under 10 minutes.

Share this episode

Similar Episodes

I'm ok

Mar 26, 2026 ·1m

Food Saved My Life

Mar 19, 2026 ·34m

Eat More Vegetables: The 4 Foods That Beat Ozempic (Naturally)

Feb 18, 2026 ·11m

How to End Heart Disease with Dr. Fuhrman

Feb 11, 2026 ·45m

Revolutionizing Breast Health: QT Imaging, Overdiagnosis, and What to Do Instead

Jan 27, 2026 ·35m

REMIX: Why we over-shop and compulsively acquire, and how to stop, with Dr Jan Eppingstall

Jan 9, 2026 ·61m

Similar Podcasts

MG Show MG Show The MG Show, hosted by Jeffrey Pedersen and Shannon Townsend, is a leading alternative media platform dedicated to uncovering the truth behind today’s most pressing political issues. Launched in 2019, the show has grown exponentially, offering unfiltered insights, comprehensive research, and real-time analysis. With a commitment to independent journalism and factual integrity, the MG Show empowers its audience with knowledge and encourages active participation in the political discourse. Ask A Spaceman Archives - 365 Days of Astronomy Ask A Spaceman Archives - 365 Days of Astronomy Podcasting Astronomy Every Day of the Year Breaking News Show | eTurboNews Juergen Thomas Steinmetz News is relevant to the global travel and tourism industry, human rights and global issues.Breaking news when it happens and only from the source. Eat to Live Jenna Fuhrman, Dr. Fuhrman Our health is our most precious gift and smart nutrition can change your life. Each month, join Dr. Fuhrman and his daughter, Jenna Fuhrman as they discuss important topics in the world of nutrition. Eat to Live will change the way you eat and think about food.

Frequently Asked Questions

How long is this episode of The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations?

This episode is 11 minutes long.

When was this The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations episode published?

This episode was published on July 4, 2026.

What is this episode about?

Lucas and Luna explore how graph neural networks are transforming recommendation systems, using the example of Pinterest's PinSage model. They break down how GNNs capture relational data like user-item interactions to generate high-quality...

Can I download this The Data Science Podcast with Fexingo: Analytics, Machine Learning, and Data-Driven Conversations episode?

Yes, you can download this episode by clicking the download button on the episode player, or subscribe to the podcast in your preferred podcast app for automatic downloads.
URL copied to clipboard!