- 360 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
About this book
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
- 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
Frequently asked questions
- Essential is ideal for learners and professionals who enjoy exploring a wide range of subjects. Access the Essential Library with 800,000+ trusted titles and best-sellers across business, personal growth, and the humanities. Includes unlimited reading time and Standard Read Aloud voice.
- Complete: Perfect for advanced learners and researchers needing full, unrestricted access. Unlock 1.4M+ books across hundreds of subjects, including academic and specialized titles. The Complete Plan also includes advanced features like Premium Read Aloud and Research Assistant.
Please note we cannot support devices running on iOS 13 and Android 7 or earlier. Learn more about using the app.
Information
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