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Building a Recommendation System with R

Building a Recommendation System with R

By : Usuelli
4.5 (8)
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Building a Recommendation System with R

Building a Recommendation System with R

4.5 (8)
By: Usuelli

Overview of this book

A recommendation system performs extensive data analysis in order to generate suggestions to its users about what might interest them. R has recently become one of the most popular programming languages for the data analysis. Its structure allows you to interactively explore the data and its modules contain the most cutting-edge techniques thanks to its wide international community. This distinctive feature of the R language makes it a preferred choice for developers who are looking to build recommendation systems. The book will help you understand how to build recommender systems using R. It starts off by explaining the basics of data mining and machine learning. Next, you will be familiarized with how to build and optimize recommender models using R. Following that, you will be given an overview of the most popular recommendation techniques. Finally, you will learn to implement all the concepts you have learned throughout the book to build a recommender system.
Table of Contents (8 chapters)
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6
A. References
7
Index

What this book covers

Chapter 1, Getting Started with Recommender Systems, describes the book and presents some real-life examples of recommendation engines.

Chapter 2, Data Mining Techniques Used in Recommender Systems, provides the reader with the toolbox to built recommender models: R basics, data processing, and machine learning techniques.

Chapter 3, Recommender Systems, presents some popular recommender systems and shows how to build some of them using R.

Chapter 4, Evaluating the Recommender Systems, shows how to measure the performance of a recommender and how to optimize it.

Chapter 5, Case Study – Building Your Own Recommendation Engine, shows how to solve a business challenge by building and optimizing a recommender.

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Building a Recommendation System with R
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