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Solr Cookbook - Third Edition

You're reading from   Solr Cookbook - Third Edition Solve real-time problems related to Apache Solr 4.x and 5.0 effectively with the help of over 100 easy-to-follow recipes

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Product type Paperback
Published in Jan 2015
Publisher
ISBN-13 9781783553150
Length 356 pages
Edition 3rd Edition
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Author (1):
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Rafal Kuc Rafal Kuc
Author Profile Icon Rafal Kuc
Rafal Kuc
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Table of Contents (12) Chapters Close

Preface 1. Apache Solr Configuration FREE CHAPTER 2. Indexing Your Data 3. Analyzing Your Text Data 4. Querying Solr 5. Faceting 6. Improving Solr Performance 7. In the Cloud 8. Using Additional Functionalities 9. Dealing with Problems 10. Real-life Situations Index

Using boosting with autocomplete


Autocomplete is very good when it comes to our user search experience. It is especially useful for showing users' data that we want to promote or the data that is of value to the users. In general, in e-commerce, the deployment of the autocomplete functionality means more profit. However, there are situations where we want to promote certain products or documents, for example, the currently top-selling books or financial reports, which are the most important ones. This recipe will show you how to boost certain documents when using the n-gram-based autocomplete functionality.

How to do it...

Let's perform the following steps to boost certain documents using the n-gram-based autocomplete function:

  1. We start with creating the index structure for our use case; we just put the following section to the schema.xml file:

    <field name="id" type="string" indexed="true" stored="true" required="true"/>
    <field name="title" type="text_general" indexed="true" stored...
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