Search icon CANCEL
Subscription
0
Cart icon
Your Cart (0 item)
Close icon
You have no products in your basket yet
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
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

Arrow left icon
Product type Paperback
Published in Apr 2015
Publisher
ISBN-13 9781783981847
Length 316 pages
Edition 1st Edition
Languages
Tools
Arrow right icon
Author (1):
Arrow left icon
Jayant Kumar Jayant Kumar
Author Profile Icon Jayant Kumar
Jayant Kumar
Arrow right icon
View More author details
Toc

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

Relevance calculation


Now that we are aware of how Solr works in the creation of an inverted index and how a search returns results for a query from an index, the question that comes to our mind is how Solr or Lucene (the underlying API) decides which documents should be at the top and how the results are sorted. Of course, we can have custom sorting, where we can sort results based on a particular field. However, how does sorting occur in the absence of any custom sorting query?

The default sorting mechanism in Solr is known as relevance ranking. During a search, Solr calculates the relevance score of each document in the result set and ranks the documents so that the highest scoring documents move to the top. Scoring is the process of determining how relevant a given document is with respect to the input query. The default scoring mechanism is a mix of the Boolean model and the Vector Space Model (VSM) of information retrieval. The binary model is used to figure out documents that match...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at $19.99/month. Cancel anytime
Banner background image