Recommender Systems

 

In an era of information overload, recommender systems have become an indispensable tool for steering people through the vast ocean of content and navigating the long tail of available products. Fueled by data and algorithms, recommender systems can analyze our behaviors and preferences and then deliver personalized recommendations tailored to our unique tastes and interests. By recommending movies, music, books, products, and other items, they save us valuable time while opening doors to new discoveries.

In this chapter, we’ll delve into the exciting world of recommender systems, explore various approaches, and uncover strategies to maximize their performance. Before we get started, it’s important to acknowledge that recommender systems are not built on a single technique or one family of algorithms. Instead, they represent a mismatch of techniques and algorithms united under one common goal: to make relevant recommendations. Whether it’...