Preface

Recommender systems are machine learning techniques that predict user purchases and preferences. There are several applications of recommender systems, such as online retailers and video-sharing websites.

This book teaches the reader how to build recommender systems using R. It starts by providing the reader with some relevant data mining and machine learning concepts. Then, it shows how to build and optimize recommender models using R and gives an overview of the most popular recommendation techniques. In the end, it shows a practical use case. After reading this book, you will know how to build a new recommender system on your own.

What this book covers

Chapter 1, Getting Started with Recommender Systems, describes the book and presents ...

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