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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 2. Customizing the Solr Scoring Algorithm FREE CHAPTER 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

Designing an e-commerce search

E-commerce search is special. For us, a Lucene search is a Boolean information retrieval model based on the vector space model. However, for an end user, or a customer, any search on an e-commerce website is supposed to be simple. A customer would not make a field-specific search but will focus on what he or she wants from the search.

Suppose a customer is looking out for a pink sweater. The search that will be conducted on the e-commerce website will be pink sweater instead of +color:pink +type:sweater—using the Solr query syntax. It is our search that will have to figure out how to provide results to the customer so that whatever is being searched for is available to the customer. The problem with e-commerce website searches is that most of the searches happen with the idea that the results are to be retrieved from bag of words or plain text documents. However, it is important for us to categorize and rank the results so that whatever is being searched...

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