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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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Toc

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

Influencing scores with query boosts


In the beginning of this chapter, we learned what scoring is and how Elasticsearch uses the scoring formula. When an application grows, the need for improving the quality of search also increases - we call it search experience. We need to gain knowledge about what is more important to the user and we see how the users use the searches functionality. This leads to various conclusions; for example, we see that some parts of the documents are more important than others or that particular queries emphasize one field at the cost of others. We need to include such information in our data and queries so that both sides of the scoring equation are closer to our business needs. This is where boosting can be used.

The boost

Boost is an additional value used in the process of scoring. We already know it can be applied to:

  • Query: When used, we inform the search engine that the given query is a part of a complex query and is more significant than the other parts.

  • Document...

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