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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)
Tabla de Contenidos:
  • 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.