Building Recommendation Systems in Python and JAX

About the Authors

Bryan Bischof leads AI at Hex and is an adjunct professor in the Rutgers University Business Analytics master’s program, where he teaches data science. Previously, he was the head of data science at Weights & Biases and built the DS, ML, and data engineering teams. He has built recommendation systems for clothing (at Stitch Fix), recommendation systems for technical blog posts (at Weights & Biases),  and the world’s first recommendation system for coffee (at Blue Bottle Coffee); currently, he is building recommendation systems for AI agents. His research interests are in geometric methods for ML, including higher-order graph methods and topological methods. His data visualization work appears in the popular book The Day It Finally Happens by Mike Pearl. His Ph.D. is in pure mathematics. You can find Bryan on LinkedIn at bryan-bischof and on Twitter at @bebischof.

Hector Yee is a staff software engineer at Google, where he has worked on multiple projects including creating the first content-based ranker on Image Search and self driving car perception. He also worked on the YouTube recommender system and was part of the team that won a technical Emmy Award for their work on personalized video ranking technology. He has an M.S. in computer graphics. You can find Hector on LinkedIn at yeehector and on Twitter at @eigenhector.