Welcome back to the Klaviyo Data Science podcast! This episode, we dive into…
Recommender systems: how do they work?
We get recommendations for all sorts of things today: routes to take when we drive, places to eat, books to read, petitions to sign, and of course, things to buy. We take a deeper look at the task of making the data science and software systems that dispense useful recommendations at scale, with a special focus on recommending ecommerce products. You’ll hear from data scientists and engineers about:
The best (and worst) recommendations we’ve ever gotten
How the recommendation systems you take for granted actually work under the hood
Why dining room tables are basically the same thing as people’s favorite colors