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Apache Solr Search Patterns

You're reading from   Apache Solr Search Patterns Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently

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Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781783981847
Length 316 pages
Edition 1st Edition
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Author (1):
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Jayant Kumar Jayant Kumar
Author Profile Icon Jayant Kumar
Jayant Kumar
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Table of Contents (12) Chapters Close

Preface 1. Solr Indexing Internals FREE CHAPTER 2. Customizing the Solr Scoring Algorithm 3. Solr Internals and Custom Queries 4. Solr for Big Data 5. Solr in E-commerce 6. Solr for Spatial Search 7. Using Solr in an Advertising System 8. AJAX Solr 9. SolrCloud 10. Text Tagging with Lucene FST Index

Getting data points using facets

Let us refresh our memory about facets. Simply put, faceting refers to the method of categorizing data. A facet on a search result will contain categories and the number of documents in each category. The purpose of facets is to help the user narrow down his or her search result on the basis of some categories. Let us take an example to understand this better.

A search on mobile a phone would bring up a few of the following facets on the Amazon website:

  • Facet for Brand: We can see a facet for Brand in the following screenshot:
    Getting data points using facets

The brand facet is purely intended to help the user shortlist his or her preferences. The count of cell phones for each brand is not displayed, although this information is readily available and can be used for display.

  • Facet for display size: We can see the facet for display size in the following image:
    Getting data points using facets

The display size category shows facets based on the range of display sizes. Phones having sizes of less than 3.9 inches are grouped together...

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