Building Recommender Systems
In this chapter, we will learn how to build a recommendation system that will recommend movies that people might like to watch. We will learn about the K-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 have learned about the following:
- Extracting the nearest neighbors
- Building a K-Nearest Neighbors classifier
- Computing similarity scores
- Finding similar users using collaborative filtering
- Building a movie recommendation system
