Dive into Deep Learning
Table Of Contents
Dive into Deep Learning
Table Of Contents

14. Recommender Systems

Recommender systems are widely employed in industry and are ubiquitous in our daily life. They are utilized in a number of areas such as online shopping sites (e.g., amazon.com), music/movie services site (e.g., Netflix, and Spotify), mobile application stores (e.g., IOS app store and google play), online advertising, just to name a few. In this chapter, we will cover the fundamentals and advancements of recommender systems, explore some common techniques for building recommender systems with different data sources available and their implementations. Specifically, you will learn how to predict the rating a user might give to an item, how to generate a recommendation list of items and predict the click-through rate from abundant features. These tasks are commonplace in real-world applications. By study this chapter, you will get hands-on experience in solving recommendation problems with classic as well as advanced deep learning based models.