Relevant Search: With Applications for Solr and Elasticsearch

Doug Turnbull, John Berryman

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相關主題

商品描述

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

 

  1. The search relevance problem
  2. Search under the hood
  3. Debugging your first relevance problem
  4. Taming tokens
  5. Basic multifield search
  6. Term-centric search
  7. Shaping the relevance function
  8. Providing relevance feedback
  9. Designing a relevance-focused search application
  10. The relevance-centered enterprise
  11. Semantic and personalized search

商品描述(中文翻譯)


摘要

Relevant Search 解密了相關性搜尋的工作。使用 Elasticsearch,它教導您如何向使用者返回引人入勝的搜尋結果,幫助您了解並利用基於 Lucene 的搜尋引擎的內部運作。

購買印刷版書籍將包含 Manning Publications 提供的 PDF、Kindle 和 ePub 格式的免費電子書。

關於技術

使用者習慣並期望即時且相關的搜尋結果。要實現這一點,您必須精通搜尋引擎。然而,對於許多開發人員來說,相關性排名是神秘或令人困惑的。

關於本書

Relevant Search 解密了這個主題,並向您展示搜尋引擎是一個可編程的相關性框架。您將學習如何將 Elasticsearch 或 Solr 應用於您企業獨特的排名問題。本書演示了如何編寫相關性程式碼,以及如何整合次要資料來源、分類法、文字分析和個性化。在實踐中,相關性框架還需要軟技能,例如與利益相關者合作,為您的企業發現正確的相關性需求。最終,您將能夠在搜尋產品的整個生命週期中實現可證明、可衡量的相關性改進的良性循環。

內容簡介

 


  • 調試相關性的技巧?

  • 將搜尋引擎功能應用於實際問題?

  • 使用使用者界面引導搜尋者?

  • 系統性的相關性方法?

  • 以改善搜尋為重點的企業文化

讀者對象

對於試圖使用 Elasticsearch 或 Solr 建立更智能搜尋的開發人員。

作者簡介

Doug Turnbull 是 OpenSource Connections 的首席相關性顧問,經常發表演講和撰寫部落格。 John Berryman 是 Eventbrite 的資料工程師,專注於推薦和搜尋。

前言作者 Trey Grainger 是 CareerBuilder 的工程總監,也是 Solr in Action 的作者。

目錄

 


  1. 搜尋相關性問題

  2. 深入了解搜尋引擎

  3. 調試第一個相關性問題

  4. 掌握詞元

  5. 基本多字段搜尋

  6. 以詞元為中心的搜尋

  7. 塑造相關性函數

  8. 提供相關性反饋

  9. 設計以相關性為重點的搜尋應用程式

  10. 以相關性為中心的企業

  11. 語義和個性化搜尋