Hands-On Recommendation Systems with Python

Introduction

As already mentioned a couple of times, hybrid recommenders are extremely powerful, robust systems that combine various simpler models to give us predictions. There is no single way in which a hybrid model could do this; some hybrids predict using content and collaborative filtering techniques separately to produce results. Some others introduce content-based techniques into collaborative filters and vice versa.

Netflix is a very good example of a hybrid recommender. Netflix employs content-based techniques when it shows you similar movies to a movie you're watching (the MORE LIKE THIS section), as shown in the following screenshot:

Here, we can see that while watching Ratatouille, Netflix recommends movies to me that are very ...