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Elasticsearch Indexing

You're reading from Elasticsearch Indexing How to Improve User's Search Experience

Product type Paperback

Published in Dec 2015

Publisher

ISBN-13 9781783987023

Length 176 pages

Edition 1st Edition

Tools

Elasticsearch

Concepts

Enterprise Search

Author (1):

Huseyin Akdogan

View More author details

Table of Contents (15) Chapters

Elasticsearch Indexing

Credits

About the Author

About the Reviewer

www.PacktPub.com

Preface

1. Introduction to Efficient Indexing FREE CHAPTER

2. What is an Elasticsearch Index

3. Basic Concepts of Mapping

4. Analysis and Analyzers

5. Anatomy of an Elasticsearch Cluster

6. Improving Indexing Performance

7. Snapshot and Restore

8. Improving the User Search Experience

Index

Chapter 8. Improving the User Search Experience

In the previous chapter, we looked at how to back up and restore our data. We examined the snapshot repository and snapshot/restore process functionality. We talked about configuration details to snapshot and restore. Finally, we discussed how the snapshot process works and the form of snapshot files. In this chapter, we will examine the Elasticsearch Suggest API to correct user's spelling mistakes and we will look closely at the various functionalities provided by Elasticsearch to improve the relevancy of search results. By the end of this chapter, we will have covered:

How to correct user's spelling mistakes
How to use the term suggester
How to use the phrase suggester
How to provide the autocomplete functionality for the user
How to use boosting
How to use synonyms

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Authors (1)

Huseyin Akdogan

Huseyin Akdogan

Hüseyin Akdoğan began his software adventure with the GwBasic programming language. He started learning the Visual Basic language after QuickBasic and developed many applications until 2000, after which he stepped into the world of Web with PHP. After this, he came across Java! In addition to counseling and training activities since 2005, he developed enterprise applications with JavaEE technologies. His areas of expertise are JavaServer Faces, Spring Frameworks, and big data technologies such as NoSQL and Elasticsearch. Along with these, he is also trying to specialize in other big data technologies. Hüseyin also writes articles on Java and big data technologies and works as a technical reviewer of big data books. He was a reviewer of one of the bestselling books, Mastering Elasticsearch – Second Edition.

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