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