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Mastering Elasticsearch 5.x

You're reading from   Mastering Elasticsearch 5.x Master the intricacies of Elasticsearch 5 and use it to create flexible and scalable search solutions

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781786460189
Length 428 pages
Edition 3rd Edition
Languages
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Author (1):
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Bharvi Dixit Bharvi Dixit
Author Profile Icon Bharvi Dixit
Bharvi Dixit
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Table of Contents (13) Chapters Close

Preface 1. Revisiting Elasticsearch and the Changes FREE CHAPTER 2. The Improved Query DSL 3. Beyond Full Text Search 4. Data Modeling and Analytics 5. Improving the User Search Experience 6. The Index Distribution Architecture 7. Low-Level Index Control 8. Elasticsearch Administration 9. Data Transformation and Federated Search 10. Improving Performance 11. Developing Elasticsearch Plugins 12. Introducing Elastic Stack 5.0

Working with synonyms


Full text searches often require synonym searches. For example, if a user is searching for equity then he would expect to get the results which contain share and stock. A user might search for the US and expect to find documents that contain United States, USA, U.S.A., or America. However, they wouldn't expect to see results about the states of matter or state machines.

Note

Synonyms are used to broaden the scope matching documents and often people try to provide synonyms for every word in the language, to ensure that any document can be found with even the most remotely related terms. But they should be used only when necessary and just as with partial matching we have seen in previous sections, synonym fields should not be used alone but should be combined with a query to set the context and get better results.

Synonyms appear to be a very simple concept but they are very tricky to implement. They are prone to yield false positive or false negative results if all scenarios...

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