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Relevant search : with applications for Solr and Elasticsearch /

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 resu...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Turnbull, Doug, 1980- (Autor), Berryman, John, 1980- (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Shelter Island, NY : Manning Publications Co., [2016]
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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264 4 |c ©2016 
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588 0 |a Online resource; title from title page (Safari, viewed July 26, 2016). 
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520 |a 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. Using Elasticsearch and Solr, it teaches you to express your business's ranking rules in this framework. You'll discover 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. 
505 0 |a Intro -- 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. 
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650 0 |a Database searching. 
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650 6 |a Recherche sur Internet. 
650 6 |a Bases de données  |x Interrogation. 
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650 7 |a Internet searching  |2 fast 
650 7 |a Search engines  |x Programming  |2 fast 
700 1 |a Berryman, John,  |d 1980-  |e author. 
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