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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
- 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 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
- Sales Rank: #178196 in Books
- Published on: 2016-07-09
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x .70" w x 7.30" l, .0 pounds
- Binding: Paperback
- 360 pages
About the Author
Doug Turnbull is a search relevance consultant at OpenSource Connections where he frequently speaks and blogs. Using Solr and Elasticsearch, Doug builds relevant, semantically enriched search experiences for clients across multiple domains.
John Berryman is a data scientist at EventBrite where he specializes in recommendations and search. He is interested in the potential of integrating semantic understanding into search and discovery applications.
Most helpful customer reviews
2 of 2 people found the following review helpful.
Not as advanced as I thought it would be...
By Jen222
I expected more technical depth in how to build complex queries and understand what Lucene is doing with those queries "under the hood". This book barely touched on that, only briefly discussing indices, distributed computing and doc values, and not going into say how queries are compiled (are they even compiled? I don't know after reading this book). I also expected some discussion on how to combine several different types of rankings. I didn't really get that either, since the authors kind of stop after discussing how to combine 2 or 3 factors in simplistic ways. If you need to use lots of advanced function scores, scripted scores, and nested document types, this probably won't be more helpful than stack overflow. As a basic primer, it is a bit better than the elasticsearch intro book, though that is free online.
1 of 3 people found the following review helpful.
Very informative book about Search Technology !
By Trieu Nguyen tan
Very informative book about Search Technology !
7 of 7 people found the following review helpful.
as well as providing incredibly useful "patterns" for discussing the whole problem of Search and ...
By J. Bickerstaff
I found this book on the MEAP program (Manning Early Access Program) and avidly read it as the chapters were released. It was, for me, an incredibly timely and valuable book because I had just landed a job building SOLR search for the local branch of a large multinational corporation. Although I had SOLR experience in my previous position, it was unique in that the whole idea of "relevance" didn't really apply - but it applied in spades in my new gig.
Relevant Search (the book) was the next step in my education about what search is "really" about - finding the relevant "things" the user really wants to see. NOT about matching certain words. The book made a huge, positive difference in the results I was able to produce for my new employer and if you're going to be playing around in the "Search" space, you owe it to yourself to get this book. Reading it and using the suggestions and approaches in the book made a huge difference in how I approached the work, as well as providing incredibly useful "patterns" for discussing the whole problem of Search and Relevancy with my Product Manager, my SME's and upper management. I received a number of compliments for my knowledge - much of which I owed to reading this book.
This book is not about the nuts and bolts of installing and running SOLR or ElasticSearch -- it IS about the important concepts (and some useful tricks and traps) for building Relevancy into your search tools. You will learn how to build better searches (and there are some included examples of actual query syntax).
Think of it this way:
Search is really not what you are after in a search application. Relevancy IS what you want. Relevancy is about getting the search to produce results that thrill your users - because it appears to match their needs and expectations. It is easy to match every instance of the word "maverick"... What users want is an application that "knows" the difference between "Maverick" the car, "maverick" the wild stallion, and "Maverick" the iconoclastic, anti-establishment hero of that famous early 60's TV show.. THAT is relevance.
If that matters to you, buy this book.
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