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Mastering Apache Solr 7.x

You're reading from   Mastering Apache Solr 7.x An expert guide to advancing, optimizing, and scaling your enterprise search

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788837385
Length 308 pages
Edition 1st Edition
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Authors (3):
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Dharmesh Vasoya Dharmesh Vasoya
Author Profile Icon Dharmesh Vasoya
Dharmesh Vasoya
Chintan Mehta Chintan Mehta
Author Profile Icon Chintan Mehta
Chintan Mehta
Sandeep Nair Sandeep Nair
Author Profile Icon Sandeep Nair
Sandeep Nair
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Table of Contents (10) Chapters Close

Preface 1. Introduction to Solr 7 2. Getting Started FREE CHAPTER 3. Designing Schemas 4. Mastering Text Analysis Methodologies 5. Data Indexing and Operations 6. Advanced Queries – Part I 7. Advanced Queries – Part II 8. Managing and Fine-Tuning Solr 9. Client APIs – An Overview

Result clustering


So far, we have seen Solr searching by the keyword used in search query. Result clustering is the advanced search component of Solr; it first identifies the similarities between documents, and using these similarities, it finds related documents. It is also not necessary for the identified similarities to be present in the query or document.

The clustering component first discovers the results of a search query and identifies similar terms or phrases found within the search results. A clustering algorithm discovers relationships across all the documents from the search result and forms in a meaningful cluster label. Solr comes with several algorithms for clustering implementation.

Result clustering parameters

Parameter

Behavior

Default value

clustering

Enable/disable clustering.

true

clustering.engine

Specifies which clustering engine to use. If not specified, the first declared engine will become the default one.

first in a list

clustering.results

When true, the component will run...

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