Deep Learning–Based Recommender System

Abstract

So far, you have learned various methods for building recommender systems and saw their implementation in Python. The book began with basic and intuitive methods, like market basket analysis, arithmetic-based content, and collaborative filtering methods, and then moved on to more complex machine learning methods, like clustering, matrix factorizations, and machine learning classification-based methods. This chapter continues the journey by implementing an end-to-end recommendation system using advanced deep learning concepts.