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  • Book Overview & Buying Building a Recommendation System with R
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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

Chapter 1. Getting Started with Recommender Systems

How do we buy things in our day-to-day lives? We ask our friends, research the product specifications, compare the product with similar products on the Internet, read the feedback from anonymous users, and then we make decisions. How would it be if there is some mechanism that does all these tasks automatically and recommends the products best suited for you efficiently? A recommender system or recommendation engine is the answer to this question.

In this introductory chapter, we will define a recommender system in terms of the following aspects:

  • Helping to develop an understanding of its definition
  • Explaining its basic functions and providing a general introduction of popular recommender systems
  • Highlighting the importance of evaluation techniques
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