Chapter 5. Building Recommender Systems
In this chapter, we are going to learn how to build a movie recommendation system. We will discuss how to create a training pipeline that can be trained with custom parameters. We will then learn about the Nearest Neighbors classifier and see how to implement it. We use these concepts to discuss collaborative filtering and then use it to build a recommender system.
By the end of this chapter, you will learn about the following:
- Creating a training pipeline
- Extracting the nearest neighbors
- Building a K Nearest Neighbors classifier
- Computing similarity scores
- Finding similar users using collaborative filtering
- Building a movie recommendation system
