Eco-aware GNN Recommenders

In this episode of Data Skeptic, we dive into eco-friendly AI with Antonio Purificato, a PhD student from Sapienza University of Rome. Antonio discusses his research on "EcoAware Graph Neural Networks for Sustainable Recommendations" and explores how we can measure and reduce the environmental impact of recommender systems without sacrificing performance.

Episode metadata supplied by the publisher feed · Published Aug 30, 2025

Embed this episode

Attribution link and audio player

NOW PLAYING

Eco-aware GNN Recommenders

0:00 44:42

1×

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

No similar episodes found.

Similar Podcasts

No similar podcasts found.

Frequently Asked Questions

How long is this episode of Data Skeptic?

This episode is 44 minutes long.

When was this Data Skeptic episode published?

This episode was published on August 30, 2025.

Can I download this Data Skeptic episode?

Yes. Use the download control on the episode player to save the publisher-provided media file.

URL copied to clipboard!