Relevant Search: With Applications for Solr and Elasticsearch
Doug Turnbull, John Berryman
- 出版商: Manning
- 出版日期: 2016-07-09
- 定價: $1,485
- 售價: 9.0 折 $1,337
- 語言: 英文
- 頁數: 360
- 裝訂: Paperback
- ISBN: 161729277X
- ISBN-13: 9781617292774
相關性搜索 : 利用 Solr 與 Elasticsearch 創建智能應用 (Relevant search: with applications for Solr and elasticsearch) (簡中版)
立即出貨 (庫存 < 4)
$1,280Akka in Action
$1,403Practices of the Python Pro
$811Rust 權威指南 (The Rust Programming Language (Covers Rust 2018))
$1,485Network Programming with Go: Learn to Code Secure and Reliable Network Services from Scratch
$653重學 Java 設計模式
$551瘋狂 Java 面試講義 — 數據結構、算法與技術素養
$1,485Bug Bounty Bootcamp: The Guide to Finding and Reporting Web Vulnerabilities
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.
- 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
- The search relevance problem
- Search under the hood
- Debugging your first relevance problem
- Taming tokens
- Basic multifield search
- Term-centric search
- Shaping the relevance function
- Providing relevance feedback
- Designing a relevance-focused search application
- The relevance-centered enterprise
- Semantic and personalized search