Summary
Relevant Search demystifies relevance work. Using Elasticsearch, it
teaches you how to return engaging search results to your users, helping
you understand 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
achieve this, you must 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'll learn how 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'll be able to achieve a
virtuous cycle of provable, measurable relevance improvements over a
search product's lifetime.
What's Inside
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Techniques for debugging relevance?
-
Applying search engine features to real problems?
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Using the user interface to guide searchers?
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A systematic approach to relevance?
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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 frequently speaks and blogs. John Berryman is
a data engineer at Eventbrite, where he specializes in recommendations
and search.
Foreword author, Trey Grainger, is a director of engineering at
CareerBuilder and author of Solr in Action.
Table of Contents
- The search relevance problem
- Search under the hood
- Debugging your first relevance problem
- Taming tokens
- Basic multifield search
- Term-centric search
- Shaping the relevance function
- Providing relevance feedback
- Designing a relevance-focused search application
- The relevance-centered enterprise
- Semantic and personalized search
