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Elasticsearch Server: Second Edition

You're reading from   Elasticsearch Server: Second Edition From creating your own index structure through to cluster monitoring and troubleshooting, this is the complete guide to implementing the ElasticSearch search engine on your own websites. Packed with real-life examples.

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Product type Paperback
Published in Apr 2014
Publisher
ISBN-13 9781783980529
Length 428 pages
Edition Edition
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Table of Contents (18) Chapters Close

Elasticsearch Server Second Edition
Credits
About the Author
Acknowledgments
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started with the Elasticsearch Cluster 2. Indexing Your Data FREE CHAPTER 3. Searching Your Data 4. Extending Your Index Structure 5. Make Your Search Better 6. Beyond Full-text Searching 7. Elasticsearch Cluster in Detail 8. Administrating Your Cluster Index

An introduction to Apache Lucene scoring


When talking about queries and their relevance, we can't omit information about scoring and where it comes from. But what is the score? The score is a parameter that describes the relevance of a document against a query. In the following section, we will discuss the default Apache Lucene scoring mechanism, the TF/IDF algorithm, and how it affects the returned document.

Note

The TF/IDF algorithm is not the only available algorithm exposed by Elasticsearch. For more information about available models, refer to the Different similarity models section in Chapter 2, Indexing Your Data, and our book, Mastering ElasticSearch, Packt Publishing.

When a document is matched

When a document is returned by Lucene, it means that Lucene matched the query we sent and that document has been given a score. The higher the score, the more relevant the document is from the search engine point of view. However, the score calculated for the same document on two different queries...

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