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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

Prioritizing a title match over content match


It is often required that you conduct a search on multiple fields, but then, it's also important to make sure that certain field matches are prioritized over the others to make the search results more relevant.

If we are using a multifield search, it is a good idea to use a multisearch query. Here, you can give multiple fields and also prioritize on some of the fields. An example of this is as follows:

{
  "query": {
    "multi_match": {
      "query": "white elephant",
      "fields": [
        "Title^10",
        "Content"
      ]
    }
  }
}

Here, we search on both the Title and Content field and prioritize the Title field match over the Content field match. The ^10 parameter next to the Title field name makes sure that the match over the Title field is given 10 times more relevance.

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