This document discusses building recommender systems using Azure ML. It provides an overview of recommender systems including examples of how Netflix, Amazon, and Best Buy use them. It then outlines an agenda to understand recommender systems, load a movie dataset from GroupLens, clean and prepare the data, train a Matchbox recommender model in Azure ML, test the model, and ways to improve predictive modeling. The presentation aims to provide hands-on experience with recommender systems in Azure ML Studio.