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...
Clasificación: | Libro Electrónico |
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Autores principales: | , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Shelter Island, NY :
Manning Publications Co.,
[2016]
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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.