Chapter 1. What is a recommender?

It’s a jungle out there as far as understanding what a recommender system is, so we’ll start this book looking into what problems it solves and how it’s used. Here’s what we’ll cover:

  • Understanding the task a recommender system is trying to emulate
  • Developing insight into what are nonpersonalized and personalized recommendations
  • Developing a taxonomy of how to describe recommenders
  • Introducing the example website MovieGEEKs

Get a cup of coffee and a blanket and make yourself comfortable for this introduction to the world of recommendations. We’ll ease into it, first looking at real-world examples before moving into the computational intricacies of a recommender system in the following chapters. You might feel ...

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