Chapter 10: Recommender Systems
In this chapter, we will learn about what recommender systems are, discuss their various types, and work through a DataRobot implementation of a content-based recommender system. Within this chapter, recommender system, recommendation system, recommender engines, and recommendation engines are used interchangeably.
In their simplest form, recommender systems suggest potentially relevant items to users or buyers. In today's commercial environment, businesses tend to have numerous items, products, or services for sale, making it more challenging for users or buyers to connect with their desired products or services. This chapter explains the ubiquity of recommendation engines in the current business space.
Although this book is not the place to cover every aspect of recommendation systems, we will discuss how to utilize DataRobot to build and (make predictions from) recommendation engines and present a conceptual overview of these systems...
