Distributed Machine Learning with PySpark: Migrating Effortlessly from Pandas and Scikit-Learn

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

A. TestasDistributed Machine Learning with PySparkhttps://doi.org/10.1007/978-1-4842-9751-3_13

13. Recommender Systems with Pandas, Surprise, and PySpark

Abdelaziz Testas¹  

(1)

Fremont, CA, USA

 

In this chapter, we explore a new area of supervised learning, that of recommender systems. Even though recommender systems fall under supervised learning, they do not typically fall under either regression (Chapters 3–6) or classification (Chapters 7–12). They are considered a distinct area within machine learning called collaborative filtering.

While recommender systems involve predicting ratings or preferences, they are different from traditional regression tasks ...