Deep Learning with fastai Cookbook

Chapter 5: Training Recommender Systems

In this book, so far we have worked through recipes to train deep learning with fastai for a variety of datasets. In this chapter, we will go through recipes that take advantage of fastai's support for recommender systems, also known as collaborative filtering systems. Recommender systems combine the characteristics of tabular data models introduced in Chapter 3, Training Models with Tabular Data, with characteristics of text data models introduced in Chapter 4, Training Models with Text Data.

Recommender systems cover a narrow, but well-established, use case: given a set of users and their ratings of a set of items, a recommender system predicts the rating that a user will give for an item that the user ...