Take a sneak peek at the case study used in this course and learn to build your own recommendation engine. Complete the form below:
By submitting your information, you are agreeing to receive periodic information about online programs from MIT related to the content of this course.
You will start receiving occasional email updates from the MIT xPRO team about this upcoming online course.
Access the case study "Build Your Own Recommendation System for Movies," below:
Ever wonder how industry giants like Netflix, Spotify and Pandora filter products based on their unique user’s preference? Using data of course! But how do they get that data? By building what is known as a Recommendation Engine – a feature that filters items by predicting how users will rate them – the goal is to connect users to the right items so that they will continue to use products/services.
In this case study, we will focus on Netflix and how they utilize Recommendation Engines to provide the best possible shows and movies for unique users.
Important note: Don't get discouraged if some of the steps described seem too complicated! Remember, this is an extract of the online course that will provide you with all the background necessary to successfully complete this activity.
MIT xPRO provides professional development opportunities via online and blended learning courses and programs for individuals and companies across the world. Leveraging the latest online learning technologies, our programs and courses empower professionals to maximize their impact while engaging with peers, world-class faculty, and industry experts in a supportive, interactive learning environment. Designed to accommodate the busy lives of working professionals, our online and blended courses facilitate continued performance on-the-job.
Our learners are not only scientists, engineers, technicians, managers and consultants – they are change agents. They take the initiative, push boundaries, and define the future, and we’re with them every step of the way.