6 Genius Tricks Companies Use to Recommend Content

In this 7-minute crash course we break down 6 classic recommender algorithms, explained with FOOD What you'll learn 00:00 – Intro 00:27 – Memory-Based Collaborative Filtering 01:00 – Matrix Factorization 03:35 – Neural Collaborative Filtering 04:17 – Content-Based Filtering 05:43 – Sequential / Session-Based Models 06:27 – Graph-Based Models 06:57 – Outro The style of this video is heavily inspired by @statquest If there is any mistake in the video, please contact me here: youniss.dev/contact