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Elasticsearch Server - Third Edition

You're reading from   Elasticsearch Server - Third Edition Leverage Elasticsearch to create a robust, fast, and flexible search solution with ease

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Product type Paperback
Published in Feb 2016
Publisher
ISBN-13 9781785888816
Length 556 pages
Edition 3rd Edition
Languages
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Authors (2):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
Marek Rogozinski Marek Rogozinski
Author Profile Icon Marek Rogozinski
Marek Rogozinski
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Elasticsearch Cluster FREE CHAPTER 2. Indexing Your Data 3. Searching Your Data 4. Extending Your Querying Knowledge 5. Extending Your Index Structure 6. Make Your Search Better 7. Aggregations for Data Analysis 8. Beyond Full-text Searching 9. Elasticsearch Cluster in Detail 10. Administrating Your Cluster 11. Scaling by Example Index

Introduction to Apache Lucene scoring

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

Note

The TF/IDF is not the only available algorithm exposed by Elasticsearch. For more information about the available models, refer to the Available similarity models section in Chapter 2, Indexing Your Data. You can also refer to the books Mastering Elasticsearch and Mastering Elasticsearch Second Edition published by Packt Publishing.

When a document is matched

When a document is returned by Lucene, it means that it matched the query we sent to it. In most cases, each of the resulting documents in the response is given a score. The higher the score, the more...

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