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Relevant Search: With applications for Solr and Elasticsearch

Amazon.com Price:  $42.74 (as of 05/03/2019 18:44 PST- Details)

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Description

Summary

Relevant Search demystifies relevance work. The use of Elasticsearch, it teaches you how to return engaging search results to your users, helping you remember and leverage the internals of Lucene-based search engines.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

About the Technology

Users are accustomed to and expect instant, relevant search results. To succeed in this, you should master the search engine. Yet for many developers, relevance ranking is mysterious or confusing.

About the Book

Relevant Search demystifies the subject and shows you that a search engine is a programmable relevance framework. You can discover ways to apply Elasticsearch or Solr to your business’s unique ranking problems. The book demonstrates how to program relevance and how to incorporate secondary data sources, taxonomies, text analytics, and personalization. In practice, a relevance framework requires softer skills as well, such as collaborating with stakeholders to discover the right relevance requirements for your business. By the end, you are able to achieve a virtuous cycle of provable, measurable relevance improvements over a search product’s lifetime.

What’s Inside

  • Techniques for debugging relevance?
  • Applying search engine features to real problems?
  • Using the user interface to guide searchers?
  • A systematic approach to relevance?
  • A business culture focused on improving search

About the Reader

For developers trying to build smarter search with Elasticsearch or Solr.

About the Authors

Doug Turnbull is lead relevance consultant at OpenSource Connections, where he ceaselessly speaks and blogs. John Berryman is a data engineer at Eventbrite, where he focuses on recommendations and search.

Foreword writer, Trey Grainger, is a director of engineering at CareerBuilder and writer of Solr in Action.

Table of Contents

  1. The search relevance problem
  2. Search under the hood
  3. Debugging your first relevance problem
  4. Taming tokens
  5. Basic multifield search
  6. Term-centric search
  7. Shaping the relevance function
  8. Providing relevance feedback
  9. Designing a relevance-focused search application
  10. The relevance-centered enterprise
  11. Semantic and personalized search

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