Hands-On Machine Learning Recommender Systems with Apache Spark

by Ernesto Lee

Overview

This book is intended to provide an introduction to recommender systems using Apache Spark and Machine Learning. Before we begin with recommender systems using Apache Spark, we define Big Data and Machine Learning. We then dive directly into our use case of building a recommender system with Apache Spark and Machine learning by showing you how to build a recommender system - step by step.

Product Details

ISBN-13:	9781942864134
Publisher:	Consultants Network
Publication date:	04/13/2020
Sold by:	Barnes & Noble
Format:	eBook
Pages:	90
File size:	5 MB

Table of Contents

CHAPTER 1: INTRODUCTION TO BIG DATA & AI 16

CHAPTER 2: RECOMMENDER SYSTEMS USING APACHE SPARK   67

Basics of Machine Learning  67

Machine Learning Techniques  68

Getting Started with Recommender Systems  69

What is Recommender System?  69

Why Recommender Systems?  69

Recommender Systems Techniques  70

Content-Based Filtering  70

Collaborative Filtering  71

Spark MLlib Overview    73

Spark MLlib Components  73

Pipeline   74

Alternating Least Squares  75

AIM    77

LAB EXERCISE 2: Movie Recommender System using Apache Spark  78

Task 1: Download MovieLens dataset  78

Task 2: Creating a new package in IntelliJ IDEA   80

Task 3: Mapping Movie Ids with Movie Names  83

Task 4: Loading and Mapping User Data  87

Task 5: Training Recommendation Model 88

Task 6: Running the Model 89

 REFERENCES  91