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Apache Solr Search Patterns

You're reading from  Apache Solr Search Patterns

Product type Book
Published in Apr 2015
Publisher
ISBN-13 9781783981847
Pages 316 pages
Edition 1st Edition
Languages
Author (1):
Jayant Kumar Jayant Kumar
Profile icon Jayant Kumar

Table of Contents (17) Chapters

Apache Solr Search Patterns
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Solr Indexing Internals 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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