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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

Building a custom scorer

Now that we know how the default relevance calculation works, let us look at how to create a custom scorer. The default scorer used for relevance calculation is known as DefaultSimilarity. In order to create a custom scorer, we will need to extend DefaultSimilarity and create our own similarity class and eventually use it in our Solr schema. Solr also provides the option of specifying different similarity classes for different fieldTypes configuration directive in the schema. Thus, we can create different similarity classes and then specify different scoring algorithms for different fieldTypes as also a different global Similarity class.

Let us create a custom scorer that disables the IDF factor of the scoring algorithm. Why would we want to disable the IDF? The IDF boosts documents that have query terms that are rare in the index. Therefore, if a query contains a term that occurs in fewer documents, the documents containing the term will be ranked higher. This does...

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