26 min listen
Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Holistic Optimization of the LinkedIn News Feed - TWiML Talk #224
FromThe TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
ratings:
Length:
48 minutes
Released:
Jan 28, 2019
Format:
Podcast episode
Description
Today we’re joined by Tim Jurka, Head of Feed AI at LinkedIn. As you can imagine Feed AI is responsible for curating all the content you see daily on the LinkedIn site. What’s less apparent to those that don’t work on this type of product is the wide variety of opposing factors that need to be considered in organizing the feed. As you’ll learn in our conversation, Tim calls this the holistic optimization of the feed and we discuss some of the interesting technical and business challenges associated with trying to do this. We talk through some of the specific techniques used at LinkedIn like Multi-arm Bandits and Content Embeddings, and also jump into a really interesting discussion about organizing for machine learning at scale. We’d like to send a huge thanks to LinkedIn for sponsoring today’s show! LinkedIn Engineering solves complex problems at scale to create economic opportunity for every member of the global workforce. AI and ML are integral aspects of almost every product the company builds for its members and customers. LinkedIn’s highly structured dataset gives their data scientists and researchers the ability to conduct applied research to improve member experiences. To learn more about the work of LinkedIn Engineering, please visit https://engineering.linkedin.com/blog. The complete show notes can be found at https://twimlai.com/talk/224.
Released:
Jan 28, 2019
Format:
Podcast episode
Titles in the series (100)
This Week in ML & AI - 6/24/16: Dueling Neural Networks at ICML, Plus Training a Robotic Housekeeper: This Week in Machine Learning & AI brings you the… by The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)