

#17: Microsoft Recommenders and LLM-based RecSys with Miguel Fierro
Jun 15, 2023
Miguel Fierro, a Principal Data Science Manager at Microsoft with a PhD in robotics, dives deep into Microsoft's open-source recommenders repository, which boasts over 15k stars. He reveals how he transitioned from robotics to personalization, explaining the critical components of the system: examples, library, and tests. The conversation also explores the transformative impact of LLMs on recommender systems and emphasizes the ethical challenges and biases that must be addressed. Fierro concludes with insights on being a T-shaped data professional to thrive in a competitive landscape.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7
Intro
00:00 • 3min
Navigating Recommender Systems: From Education to Innovation
03:07 • 25min
Harnessing Dripita Notebooks for Recommender Systems
27:38 • 5min
Exploring the Reach of Open Source Recommender Systems
32:32 • 2min
Exploring the Contributor Structure in Microsoft's Project
34:16 • 2min
Selecting and Scaling Algorithms in Contributor Communities
35:54 • 4min
Navigating the Future of Recommender Systems
39:32 • 23min