Book description
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.
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.
Quotes
One of the best and most engaging technical books I’ve ever read.
- From the Foreword by Trey Grainger, Author of "Solr in Action"
Will help you solve real-world search relevance problems for Lucene-based search engines.
- Dimitrios Kouzis-Loukas, Bloomberg L.P.
An inspiring book revealing the essence and mechanics of relevant search.
- Ursin Stauss, Swiss Post
Arms you with invaluable knowledge to temper the relevancy of search results and harness the powerful features provided by modern search engines.
- Russ Cam, Elastic
Table of contents
- Copyright
- Brief Table of Contents
- Table of Contents
- Foreword
- Preface
- Acknowledgments
- About this Book
- About the Authors
- About the Cover Illustration
- Chapter 1. The search relevance problem
- Chapter 2. Search—under the hood
- Chapter 3. Debugging your first relevance problem
- Chapter 4. Taming tokens
- Chapter 5. Basic multifield search
- Chapter 6. Term-centric search
- Chapter 7. Shaping the relevance function
- Chapter 8. Providing relevance feedback
- Chapter 9. Designing a relevance-focused search application
- Chapter 10. The relevance-centered enterprise
- Chapter 11. Semantic and personalized search
- Appendix A. Indexing directly from TMDB
- Appendix B. Solr reader’s companion
- Index
- List of Figures
- List of Tables
- List of Listings
Product information
- Title: Relevant Search
- Author(s):
- Release date: June 2016
- Publisher(s): Manning Publications
- ISBN: 9781617292774
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