Questioning the Efficacy of Neural Recommendation Systems episode artwork

EPISODE · Jun 17, 2021 · 59 MIN

Questioning the Efficacy of Neural Recommendation Systems

from The Data Exchange with Ben Lorica · host Ben Lorica

This week’s guests are leading researchers in recommendation systems: Paolo Cremonesi is Professor of Computer Science and Maurizio Ferrari Dacrema is a Postdoc at Politecnico di Milano, where they are both part of the RecSys research group. Paolo is also the Reproducibility co-chair for the upcoming RecSys Conference.Subscribe: Apple • Android • Spotify • Stitcher • Google • RSS.Detailed show notes can be found on The Data Exchange web site.Subscribe to The Gradient Flow Newsletter.

Episode metadata supplied by the publisher feed · Published Jun 17, 2021

Embed this episode

NOW PLAYING

Questioning the Efficacy of Neural Recommendation Systems

0:00 59:24

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.

No similar episodes found.

No similar podcasts found.

Frequently Asked Questions

How long is this episode of The Data Exchange with Ben Lorica?

This episode is 59 minutes long.

When was this The Data Exchange with Ben Lorica episode published?

This episode was published on June 17, 2021.

Can I download this The Data Exchange with Ben Lorica episode?

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