Relevant Search

With applications for Solr and Elasticsearch

Doug Turnbull, John Berryman (Autoren)

Buch | Softcover

360 Seiten

2016
Manning Publications (Verlag)
978-1-61729-277-4 (ISBN)

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

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

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.

Erscheinungsdatum	30.07.2016
Verlagsort	New York
Sprache	englisch
Maße	185 x 234 mm
Gewicht	590 g
Einbandart	kartoniert
Themenwelt	Informatik ► Datenbanken ► Data Warehouse / Data Mining
	Mathematik / Informatik ► Informatik ► Software Entwicklung
	Mathematik / Informatik ► Informatik ► Web / Internet
Schlagworte	data engineering • Lucene • Solr, Solr 4, Apache Solr, Lucene, Suche • Suche
ISBN-10	1-61729-277-X / 161729277X
ISBN-13	978-1-61729-277-4 / 9781617292774
Zustand	Neuware