Relevant Search: With Applications for Solr and Elasticsearch
暫譯: 相關搜尋：應用於 Solr 和 Elasticsearch

Doug Turnbull, John Berryman

Relevant Search: With Applications for Solr and Elasticsearch

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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**

《相關搜尋》揭開了相關性工作的神秘面紗。透過使用 Elasticsearch，本書教你如何為用戶返回引人入勝的搜尋結果，幫助你理解並利用基於 Lucene 的搜尋引擎的內部運作。

購買印刷版書籍可獲得 Manning Publications 提供的免費電子書，格式包括 PDF、Kindle 和 ePub。

**關於技術**

用戶習慣並期待即時且相關的搜尋結果。要實現這一點，你必須精通搜尋引擎。然而，對於許多開發者來說，相關性排名是神秘或令人困惑的。

**關於本書**

《相關搜尋》揭示了這一主題，並向你展示搜尋引擎是一個可編程的相關性框架。你將學會如何將 Elasticsearch 或 Solr 應用於你業務的獨特排名問題。本書展示了如何編程相關性，以及如何整合次要數據來源、分類法、文本分析和個性化。在實踐中，相關性框架還需要一些軟技能，例如與利益相關者合作，以發現適合你業務的正確相關性需求。到最後，你將能夠在搜尋產品的生命周期中實現可證明、可衡量的相關性改進的良性循環。

**內容概覽**

- 調試相關性的技術？
- 將搜尋引擎功能應用於實際問題？
- 使用用戶介面引導搜尋者？
- 系統化的相關性方法？
- 專注於改善搜尋的商業文化

**讀者對象**

適合嘗試使用 Elasticsearch 或 Solr 建立更智能搜尋的開發者。

**作者介紹**

**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 的數據工程師，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. 搜尋引擎的內部運作
3. 調試你的第一個相關性問題
4. 飼養標記
5. 基本多欄位搜尋
6. 以術語為中心的搜尋
7. 形塑相關性函數
8. 提供相關性反饋
9. 設計以相關性為中心的搜尋應用
10. 以相關性為中心的企業
11. 語意和個性化搜尋

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