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ElasticSearch Blueprints

You're reading from   ElasticSearch Blueprints A practical project-based guide to generating compelling search solutions using the dynamic and powerful features of Elasticsearch

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Product type Paperback
Published in Jul 2015
Publisher Packt
ISBN-13 9781783984923
Length 192 pages
Edition 1st Edition
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Toc

Table of Contents (10) Chapters Close

Preface 1. Google-like Web Search 2. Building Your Own E-Commerce Solution FREE CHAPTER 3. Relevancy and Scoring 4. Managing Relational Content 5. Analytics Using Elasticsearch 6. Improving the Search Experience 7. Spicing Up a Search Using Geo 8. Handling Time-based Data Index

Chapter 6. Improving the Search Experience

Once we have the search in place, we need to improve the entire search experience. Improving the search experience means to provide a hassle-free and seamless search and the ability to get results for the user on the first try. In various contexts, this might mean differently. In some situations, considering the synonyms of the search term might help the user better. In other situations, providing a provision to search an e-mail or link in an unstructured text might help the user more. In short, the search engine should be able to guess what the user is searching for even if the user hasn't provided the right term to search.

In this chapter, we will explore various search patterns from a user's perspective and then, we'll go further to understand how these patterns arise. Later on, we will focus on how to solve them with the help of internal and external analyzers and plugins developed for Elasticsearch.

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