Google Eclipse Search (GES) tool is the result of integrating the Google Desktop Search (GDS) engine into IBM's Eclipse development environment to improve searching in software projects in a manner similar to searching the internet or your own deskt
英文版 Lucene started as a self-serving project. In late 1997, my job uncertain, I sought something of my own to market. Java was the hot new programming language, and I needed an excuse to learn it. I already knew how to write search software, and tho
1 State of the art 3 1.1 What is search? 4 Categorizing information 5 ■ Using a detailed search screen 5 Using a user-friendly search box 7 ■ Mixing search strategies 7 Choosing a strategy: the first step on a long road 8 1.2 Pitfalls of search engi
We study the caching of query result pages inWeb search en- gines. Popular search engines receive millions of queries per day, and ecient policies for caching query results may en- able them to lower their response time and reduce their hard- ware r
Registration, indexing and searching of chemical structures in relational databases is one of the core areas of cheminformatics [1,2]. Research on the topic goes back to the 1960s and probably before that [3]. However, little detail has been publish
This book provides an overview of the important issues in information retrieval, and how those issues affect the design and implementation of search engines. Not every topic is covered at the same level of detail. We focus instead on what we conside
Whether you need full-text search or real-time analytics of structured data - or both - the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore
Lucene 4 Cookbook is a practical guide that shows you how to build a scalable search engine for your application, from an internal documentation search to a wide-scale web implementation with millions of records. Starting with helping you to success
Summary Elasticsearch in Action teaches you how to build scalable search applications using Elasticsearch. You'll ramp up fast, with an informative overview and an engaging introductory example. Within the first few chapters, you'll pick up the core
Whether you need full-text search or real-time analytics of structured data—or both—the Elasticsearch distributed search engine is an ideal way to put your data to work. This practical guide not only shows you how to search, analyze, and explore dat
Relevant Search teaches you to respond to users’ searches with content that satisfies and sells. You’ll learn to tightly control search results ranking based on your criteria instead of the mystical whims of the search engine. We outline an approach
Elasticsearch is a real-time distributed search and analytics engine. It allows you to explore your data at a speed and at a scale never before possible.
