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Big Data Analytics with Java

You're reading from Big Data Analytics with Java Data analysis, visualization & machine learning techniques

Product type Paperback

Published in Jul 2017

Publisher Packt

ISBN-13 9781787288980

Length 418 pages

Edition 1st Edition

Languages

Java

Tools

Apache Spark

Concepts

Big Data

Author (1):

RAJAT MEHTA

View More author details

Table of Contents (21) Chapters

Big Data Analytics with Java

Credits

About the Author

About the Reviewers

www.PacktPub.com

Customer Feedback

Preface

1. Big Data Analytics with Java FREE CHAPTER

2. First Steps in Data Analysis

3. Data Visualization

4. Basics of Machine Learning

5. Regression on Big Data

6. Naive Bayes and Sentiment Analysis

7. Decision Trees

8. Ensembling on Big Data

9. Recommendation Systems

10. Clustering and Customer Segmentation on Big Data

11. Massive Graphs on Big Data

12. Real-Time Analytics on Big Data

13. Deep Learning Using Big Data

Index

Chapter 9. Recommendation Systems

When you go to a bookstore to buy books, you have a particular book in mind generally, which you are interested in buying and you look for that particular book in the bookshelves. Usually, in the book store, the top selling books at that point in time are kept upfront and the remaining inventory is kept on the shelves arranged (sorted). A typical small bookstore can have say a few thousand books or maybe more. So, in short, the limit to which the physical products are available is right in front of you as a customer and you can pick and choose what you like at that moment. Also, physical stores keep top products in front as they are more sellable, but there is no way the products can be arranged according to the choice or preference of a customer coming to a physical store. However, this is not the case when you go to popular online e-commerce store such as Amazon or Walmart. There could be a million if not a billion products on Amazon when you go to buy...

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Authors (1)

RAJAT MEHTA

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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