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Apache Solr for Indexing Data

You're reading from  Apache Solr for Indexing Data

Product type Book
Published in Dec 2015
Publisher
ISBN-13 9781783553235
Pages 160 pages
Edition 1st Edition
Languages
Concepts

Table of Contents (18) Chapters

Apache Solr for Indexing Data
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
1. Getting Started 2. Understanding Analyzers, Tokenizers, and Filters 3. Indexing Data 4. Indexing Data – The Basic Technique and Using Index Handlers 5. Indexing Data with the Help of Structured Datasources – Using DIH 6. Indexing Data Using Apache Tika 7. Apache Nutch 8. Commits, Real-Time Index Optimizations, and Atomic Updates 9. Advanced Topics – Multilanguage, Deduplication, and Others 10. Distributed Indexing 11. Case Study of Using Solr in E-Commerce Index

Chapter 11. Case Study of Using Solr in E-Commerce

In the previous chapter, we saw how we can use SolrCloud to set up a cluster of Solr servers, which can be used to provide a fault-tolerant and high availability environment. Now let's see how we can use Solr in e-commerce websites to improve user experience while searching for a relevant product. Providing the best user experience is the main concern for e-commerce websites these day, and we can use Solr's inbuilt features to provide a much better search experience for the user.

In this chapter, we'll cover the following topics:

  • Creating an AutoSuggest feature

  • Result grouping and facet search

  • Search filtering and sorting

  • Relevancy boosting

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