Real World Recommendation System – Part 1
- Nikhil Garg tl;dr: “The goal of this publication is to start from the basics, explain nuances of all the moving layers, and describe this universal recommendation system architecture.”featured in #411
Real World Recommendation System - Part 1
- Nikhil Garg tl;dr: "FAANG and other top tech companies have independently converged on a common architecture for production grade recommendation systems." This architecture is domain / vertical agnostic and can power all sorts of applications — from e-commerce and feeds to search, notifications, etc... Nikhil starts from the basics, explains nuances and describes this universal architecture.featured in #310
Building A Recommendation Engine Inside Postgres With Python And Pandas
- Craig Kerstiens tl;dr: Craig guides us through his experimental recommendation engine - with "SciPy, NumPy and Pandas there is a lot of interesting potential here."featured in #200