Recommender Systems – Predict What Movies a User Would Like to Watch

Recommender systems, as the name suggests, are solutions that are designed to provide recommendations to users based on various parameters, such as past behavior, item similarity, or even user demographics. These systems are used in a range of applications, such as for suggesting videos on YouTube, movies on Netflix, or products on Amazon.

The primary goal of recommender systems is to personalize online user experiences to drive business outcomes such as higher user engagement and increased revenues. As the amount of available content and choices increases, personalized recommendations become crucial for enhancing user experience and ensuring that the customers don’t get overwhelmed by the available options.

In this chapter, we will cover the following topics:

• Overview of the different types of recommender systems
• Deploying a movie recommender system on Vertex AI

First, we’...