Book Image

Big Data Analytics with Java

Book Image

Big Data Analytics with Java


Overview of this book

This book covers case studies such as sentiment analysis on a tweet dataset, recommendations on a movielens dataset, customer segmentation on an ecommerce dataset, and graph analysis on actual flights dataset. This book is an end-to-end guide to implement analytics on big data with Java. Java is the de facto language for major big data environments, including Hadoop. This book will teach you how to perform analytics on big data with production-friendly Java. This book basically divided into two sections. The first part is an introduction that will help the readers get acquainted with big data environments, whereas the second part will contain a hardcore discussion on all the concepts in analytics on big data. It will take you from data analysis and data visualization to the core concepts and advantages of machine learning, real-life usage of regression and classification using Naïve Bayes, a deep discussion on the concepts of clustering,and a review of simple neural networks on big data using deepLearning4j or plain Java Spark code. This book is a must-have book for Java developers who want to start learning big data analytics and want to use it in the real world.
Table of Contents (21 chapters)
Big Data Analytics with Java
About the Author
About the Reviewers
Customer Feedback
Free Chapter
Big Data Analytics with Java
Ensembling on Big Data
Real-Time Analytics on Big Data

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...