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Big Data Analytics with Java

You're reading from Big Data Analytics with Java

Product type Book

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Pages 418 pages

Edition 1st Edition

Languages

Concepts

Author (1):

RAJAT MEHTA

Table of Contents (21) Chapters

Big Data Analytics with Java

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

Big Data Analytics with Java

First Steps in Data Analysis

Data Visualization

Basics of Machine Learning

Regression on Big Data

Naive Bayes and Sentiment Analysis

Decision Trees

Ensembling on Big Data

Recommendation Systems

Clustering and Customer Segmentation on Big Data

Massive Graphs on Big Data

Real-Time Analytics on Big Data

Deep Learning Using Big Data

Index

Recommendation systems and their types

Before we dig deeper into the concepts of the recommendation system, let's see two real-world examples of recommendation engines that we might be using on a daily basis. The examples are shown in the following screenshots. The first screenshot is from Amazon.com, where we can see a section called Customers who bought this also bought, and the second screenshot will be from YouTube.com, where we are seeing a section called Recommended:

As you can see in the screenshot which we have taken from http://www.amazon.com, it shows a list of books on Java. So if you search for keyword Core Java on Amazon.com for buying books, you will get a list books on Core Java. If you select one of those core java books now and click on it, you will be directed to the page where you will get the full description about the book: its price, author, reviews, and so on. It is here, at the bottom of this section you will get a link as shown above where it is mentioned Customers...

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Authors (1)

RAJAT MEHTA

The author is a VP (Technical Architect) in technology in JP Morgan Chase in New York. The author is a sun certified java developer and has worked on java related technologies for more than 16 years. Current role for the past few years heavily involves the usage of bid data stack and running analytics on it. Author is also a contributor in various open source projects that are available on his GitHub repository and is also a frequent write on dev magazines.

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