Relevant Search

One of the best and most engaging technical books I’ve ever read. From the Foreword by Trey Grainger, Author of Solr in Action

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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.

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
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