Building the Product Knowledge Graph at Amazon with Luna Dong – #457

Today we’re joined by Luna Dong, Sr. Principal Scientist at Amazon.

In our conversation with Luna, we explore Amazon’s expansive product knowledge graph, and the various roles that machine learning plays throughout it. We also talk through the differences and synergies between the media and retail product knowledge graph use cases and how ML comes into play in search and recommendation use cases. Finally, we explore the similarities to relational databases and efforts to standardize the product knowledge graphs across the company and broadly in the research community.

The complete show notes for this episode can be found at https://twimlai.com/go/457.

Subscribe:

Apple Podcasts:
https://tinyurl.com/twimlapplepodcast
Spotify:
https://tinyurl.com/twimlspotify
Google Podcasts:
https://podcasts.google.com/?feed=aHR0cHM6Ly90d2ltbGFpLmxpYnN5bi5jb20vcnNz
RSS:
https://twimlai.libsyn.com/rss
Full episodes playlist:

Subscribe to our Youtube Channel:
https://www.youtube.com/channel/UC7kjWIK1H8tfmFlzZO-wHMw?sub_confirmation=1

Podcast website:


Sign up for our newsletter:

Newsletter Sign-Up


Check out our blog:

Blog


Follow us on Twitter:

Follow us on Facebook:
https://facebook.com/twimlai
Follow us on Instagram:
https://instagram.com/twimlai

YouTube Source for this AI Video

AI video(s) you might be interested in …