Feature pipelines for TikTok-like recommenders
The second lesson of the Hands-On Real-time Personalized Recommender open-source course. A free course that will teach you how to build and deploy a production-ready real-time personalized recommender for H&M articles using the four-stage recsys architecture, the two-tower model design and the Hopsworks AI Lakehouse.
The second lesson of the Hands-On Real-time Personalized Recommender open-source course.
A free course that will teach you how to build and deploy a production-ready real-time personalized recommender for H&M articles using the four-stage recsys architecture, the two-tower model design and the Hopsworks AI Lakehouse.
