Relevant Search

With Examples Using Elasticsearch and Solr
Author: Doug Turnbull,John Berryman
Publisher: Manning Publications
ISBN: 9781617292774
Category:
Page: 250
View: 6559

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Users expect search to be simple: They enter a few terms and expect perfectly-organized, relevant results instantly. But behind this simple user experience, complex machinery is at work. Whether using Elasticsearch, Solr, or another search technology, the solution is never one size fits all. Returning the right search results requires conveying domain knowledge and business rules in the search engine's data structures, text analytics, and results ranking capabilities. Relevant Search demystifies relevance work. Using Elasticsearch, it tells how to return engaging search results to users, helping readers understand and leverage the internals of Lucene-based search engines. The book walks through several real-world problems using a cohesive philosophy that combines text analysis, query building, and score shaping to express business ranking rules to the search engine. It outlines how to guide the engineering process by monitoring search user behavior and shifting the enterprise to a search-first culture focused on humans, not computers. It also shows how the search engine provides a deeply pluggable platform for integrating search ranking with machine learning, ontologies, personalization, domain-specific expertise, and other enriching sources. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Solr in Action


Author: Trey Grainger,Timothy Potter
Publisher: Createspace Independent Publishing Platform
ISBN: 9781548535353
Category:
Page: 134
View: 8346

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Search is everywhere, yet it is one of the most misunderstood functionalities of the IT industry. In Apache Solr, author Xavier Morera guides you through the basics of this highly popular enterprise search tool. You'll learn how to set up an index and how to make it searchable, then query it with a simple enterprise search. Explanations for precision and recall are also included to help you ensure that relevant, accurate results have been returned. Custom UIs using Solritas and SolrNet are also covered. This updated and expanded second edition of Book provides a user-friendly introduction to the subject, Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

Audience, Relevance, and Search

Targeting Web Audiences with Relevant Content
Author: James Mathewson,Frank Donatone,Cynthia Fishel
Publisher: Pearson Education
ISBN: 013704822X
Category: Business & Economics
Page: 208
View: 6704

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Real solutions to the Internet search challenges that Web marketers and content professionals struggle with every day! Take search optimization to the next level by providing the right content to the right user at the right time Up-to-the-minute guidance on "writing for Google" that reflects the latest changes to Google's algorithms New techniques for defining keywords more effectively Authored by IBM web pioneers with 45+ years of content and search optimization experience

Search User Interfaces


Author: Marti A. Hearst
Publisher: Cambridge University Press
ISBN: 1139642812
Category: Computers
Page: N.A
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The truly world-wide reach of the Web has brought with it a new realisation of the enormous importance of usability and user interface design. In the last ten years, much has become understood about what works in search interfaces from a usability perspective, and what does not. Researchers and practitioners have developed a wide range of innovative interface ideas, but only the most broadly acceptable make their way into major web search engines. This book summarizes these developments, presenting the state of the art of search interface design, both in academic research and in deployment in commercial systems. Many books describe the algorithms behind search engines and information retrieval systems, but the unique focus of this book is specifically on the user interface. It will be welcomed by industry professionals who design systems that use search interfaces as well as graduate students and academic researchers who investigate information systems.

Introduction to Information Retrieval


Author: Christopher D. Manning,Prabhakar Raghavan,Hinrich Schütze
Publisher: Cambridge University Press
ISBN: 1139472100
Category: Computers
Page: N.A
View: 511

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Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

Taming Text

How to Find, Organise, and Manipulate it
Author: Grant S. Ingersoll,Thomas S. Morton,Andrew L. Farris
Publisher: Manning Publications
ISBN: 9781933988382
Category: Computers
Page: 298
View: 4388

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Provides practical examples showing how to work with text in applications, covering such topics as proper name recognition, clustering, tagging, full-text search, and information extraction.

Learning Elasticsearch


Author: Abhishek Andhavarapu
Publisher: Packt Publishing Ltd
ISBN: 1787129918
Category: Computers
Page: 404
View: 3082

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Store, search, and analyze your data with ease using Elasticsearch 5.x About This Book Get to grips with the basics of Elasticsearch concepts and its APIs, and use them to create efficient applications Create large-scale Elasticsearch clusters and perform analytics using aggregation This comprehensive guide will get you up and running with Elasticsearch 5.x in no time Who This Book Is For If you want to build efficient search and analytics applications using Elasticsearch, this book is for you. It will also benefit developers who have worked with Lucene or Solr before and now want to work with Elasticsearch. No previous knowledge of Elasticsearch is expected. What You Will Learn See how to set up and configure Elasticsearch and Kibana Know how to ingest structured and unstructured data using Elasticsearch Understand how a search engine works and the concepts of relevance and scoring Find out how to query Elasticsearch with a high degree of performance and scalability Improve the user experience by using autocomplete, geolocation queries, and much more See how to slice and dice your data using Elasticsearch aggregations. Grasp how to use Kibana to explore and visualize your data Know how to host on Elastic Cloud and how to use the latest X-Pack features such as Graph and Alerting In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, and open source search and analytics engine. You can use Elasticsearch for small or large applications with billions of documents. It is built to scale horizontally and can handle both structured and unstructured data. Packed with easy-to- follow examples, this book will ensure you will have a firm understanding of the basics of Elasticsearch and know how to utilize its capabilities efficiently. You will install and set up Elasticsearch and Kibana, and handle documents using the Distributed Document Store. You will see how to query, search, and index your data, and perform aggregation-based analytics with ease. You will see how to use Kibana to explore and visualize your data. Further on, you will learn to handle document relationships, work with geospatial data, and much more, with this easy-to-follow guide. Finally, you will see how you can set up and scale your Elasticsearch clusters in production environments. Style and approach This comprehensive guide will get you started with Elasticsearch 5.x, so you build a solid understanding of the basics. Every topic is explained in depth and is supplemented with practical examples to enhance your understanding.

Apache Solr Search Patterns


Author: Jayant Kumar
Publisher: Packt Publishing Ltd
ISBN: 1783981857
Category: Computers
Page: 316
View: 5708

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This book is for developers who already know how to use Solr and are looking at procuring advanced strategies for improving their search using Solr. This book is also for people who work with analytics to generate graphs and reports using Solr. Moreover, if you are a search architect who is looking forward to scale your search using Solr, this is a must have book for you. It would be helpful if you are familiar with the Java programming language.

Tika in Action


Author: Chris A. Mattmann,Jukka L. Zitting
Publisher: Manning Publications Company
ISBN: 9781935182856
Category: Computers
Page: 229
View: 5079

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The information trapped in text files, PDFs, and other digital content is a valuable information asset that can be very difficult to discover and use. Apache Tika is an open source toolkit that makes it easy for search engines, content management systems and other applications to detect and extract content from digital documents in all major file formats. Tika in Actionis a hands-on guide for developers working with search engines, content management systems and other similar applications who want to exploit the information locked in digital documents. It introduces the world of mining text and binary documents as well as other information sources. The book shows where Tika fits within this landscape and how readers can use Tika to build and extend applications. The book's many case studies give real-world experience from domains ranging from search engines to digital asset management and scientific data processing.

Elasticsearch Server - Third Edition


Author: Rafal Kuc,Marek Rogozinski,Marek Rogozi Ski
Publisher: Packt Publishing
ISBN: 9781785888816
Category: Computers
Page: 556
View: 9080

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Leverage Elasticsearch to create a robust, fast, and flexible search solution with easeAbout This Book- Boost the searching capabilities of your system through synonyms, multilingual data handling, nested objects and parent-child documents- Deep dive into the world of data aggregation and data analysis with ElasticSearch- Explore a wide range of ElasticSearch modules that define the behavior of a clusterWho This Book Is ForIf you are a competent developer and want to learn about the great and exciting world of ElasticSearch, then this book is for you. No prior knowledge of Java or Apache Lucene is needed.What You Will Learn- Configure, create, and retrieve data from your indices- Use an ElasticSearch query DSL to create a wide range of queries- Discover the highlighting and geographical search features offered by ElasticSearch- Find out how to index data that is not flat or data that has a relationship- Exploit a prospective search to search for queries not documents- Use the aggregations framework to get more from your data and improve your client's search experience- Monitor your cluster state and health using the ElasticSearch API as well as third-party monitoring solutions- Discover how to properly set up ElasticSearch for various use casesIn DetailElasticSearch is a very fast and scalable open source search engine, designed with distribution and cloud in mind, complete with all the goodies that Apache Lucene has to offer. ElasticSearch's schema-free architecture allows developers to index and search unstructured content, making it perfectly suited for both small projects and large big data warehouses, even those with petabytes of unstructured data.This book will guide you through the world of the most commonly used ElasticSearch server functionalities. You'll start off by getting an understanding of the basics of ElasticSearch and its data indexing functionality. Next, you will see the querying capabilities of ElasticSearch, followed by a through explanation of scoring and search relevance. After this, you will explore the aggregation and data analysis capabilities of ElasticSearch and will learn how cluster administration and scaling can be used to boost your application performance. You'll find out how to use the friendly REST APIs and how to tune ElasticSearch to make the most of it. By the end of this book, you will have be able to create amazing search solutions as per your project's specifications.Style and approachThis step-by-step guide is full of screenshots and real-world examples to take you on a journey through the wonderful world of full text search provided by ElasticSearch.

Mastering Apache Solr

A practical guide to get to grips with Apache Solr
Author: Mr. Mathieu Nayrolles
Publisher: inKstall Solutions
ISBN: 8192784509
Category: Search engines
Page: 150
View: 8231

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Topic: In the open source, full-text search community, a leader emerges – Apache Solr. Apache Solr enables you to index and access documents orders of magnitude faster than classical databases and thereby provides a first-class search experience to your end users. Brief Description: Mastering Apache Solr is a practical, hands-on guide containing crisp, relevant, systematically arranged, and progressive chapters. These chapters contain a wealth of information presented in a direct and easy-to-understand manner. This book covers key technical concepts, highlighting Solr's supremacy over classical databases in full-text search, which will help you accelerate your progress in the Solr world. Detailed Description: Mastering Apache Solr starts with an introduction to Apache Solr, its underlying technologies, the main differences between the classical database engines, and gradually moves to more advance topics like boosting performance. In this book, we will look under the hood of a large number of topics and discuss answers to pertinent questions like why denormalize data, how to import classical databases' data inside Apache Solr, how to serve Solr through five different web servers, how to optimize them to serve Solr even faster. An important and major topic covered in this book is Solr's querying mechanism, which will prove to be a strong ally in our journey through this book. We then look at boosting performance and deploying Solr using several servlet servers. Finally, we cover how to communicate with Solr using different programming languages, before deploying it in a cloud-based environment. Who this book is for: Mastering Apache Solr has been written for developers, programmers, and data specialists who want to take a leap towards the future of full-text storage and search and offer a world-class experience to their users. The reader is expected to have a working knowledge of traditional databases, Linux-based operating systems, and XML configuration files. Style and Approach: Mastering Apache Solr is written lucidly and has a dynamically simple approach. From the first page to the last, the book remains practical and focuses on the most important topics used in the world of Apache Solr without neglecting important theoretical fundamentals that help you build a strong foundation. Conclusion: Mastering Apache Solr will empower you to provide a world-class search experience to your end users through the discovery of the powerful mechanisms presented in this book.

Information Retrieval

Implementing and Evaluating Search Engines
Author: Stefan Büttcher,Charles L. A. Clarke,Gordon V. Cormack
Publisher: MIT Press
ISBN: 0262528878
Category: Computers
Page: 632
View: 2575

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An introduction to information retrieval, the foundation for modern search engines, that emphasizes implementation and experimentation.

Apache Solr Beginner's Guide


Author: Alfredo Serafini
Publisher: Packt Publishing Ltd
ISBN: 1782162534
Category: Computers
Page: 324
View: 429

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Written in a friendly, example-driven format, the book includes plenty of step-by-step instructions and examples that are designed to help you get started with Apache Solr. This book is an entry level text into the wonderful world of Apache Solr. The book will center around a couple of simple projects such as setting up Solr and all the stuff that comes with customizing the Solr schema and configuration. This book is for developers looking to start using Apache Solr who are stuck or intimidated by the difficulty of setting it up and using it.For anyone wanting to embed a search engine in their site to help users navigate around the mammoth data available this book is an ideal starting point. Moreover, if you are a data architect or a project manager and want to make some key design decisions, you will find that every example included in the book contains ideas usable in real-world contexts.

Elasticsearch in Action


Author: Radu Gheorghe,Matthew Lee Hinman,Roy Russo
Publisher: Manning Publications
ISBN: 9781617291623
Category: Computers
Page: 400
View: 2240

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Elasticsearch makes it easy to add efficient and scalable searches to enterprise applications. Busy administrators and developers love this open source real-time search and analytics engine because they can simply install it, make a few tweaks, and go on with their work. Elasticsearch is miles deep, so once it's up and running, it can be used to build nearly any custom search solution imaginable. Elasticsearch in Action shows how to build scalable search applications using Elasticsearch. It starts off with an informative overview and an engaging introductory example. Within the first few chapters, it discusses core concepts needed to implement basic searches and efficient indexing. With the fundamentals well in hand, readers will gain an organized view of how to optimize their designs. The book focuses on Elasticsearch's REST API via HTTP. Code snippets are written mostly in bash using curl, which makes them easily translatable to other languages. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.

Apache Solr

A Practical Approach to Enterprise Search
Author: Dikshant Shahi
Publisher: Apress
ISBN: 1484210700
Category: Computers
Page: 299
View: 9648

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Build an enterprise search engine using Apache Solr: index and search documents; ingest data from varied sources; apply various text processing techniques; utilize different search capabilities; and customize Solr to retrieve the desired results. Apache Solr: A Practical Approach to Enterprise Search explains each essential concept-backed by practical and industry examples--to help you attain expert-level knowledge. The book, which assumes a basic knowledge of Java, starts with an introduction to Solr, followed by steps to setting it up, indexing your first set of documents, and searching them. It then introduces you to information retrieval and its implementation in Apache Solr; this will help you understand your search problem, decide the approach to build an effective solution, and use various metrics to evaluate the results. The book next covers the schema design and techniques to build a text analysis chain for cleansing, normalizing and enriching your documents and addressing different types of search queries. It describes various popular matching techniques which are generally applied to improve the precision and recall of searches. You will learn the end-to-end process of data ingestion from varied sources, metadata extraction, pre-processing and transformation of content, various search components, query parsers and other advanced search capabilities. After covering out-of-the-box features, Solr expert Dikshant Shahi dives into ways you can customize Solr for your business and its specific requirements, along with ways to plug in your own components. Most important, you will learn about implementations for Solr scoring, factors affecting the document score, and tuning the score for the application at hand. The book explains why textual scoring is not sufficient for practical ranking of documents and ways to integrate real-world factors for contributing to the document ranking. You'll see how to influence user experience by providing suggestions and recommendations. You'll also see integration of Solr with important related technologies such as OpenNLP and Tika. Additionally, you will learn about scaling Solr using SolrCloud. This book concludes with coverage of semantic search capabilities, which is crucial for taking the search experience to the next level. By the end of Apache Solr, you will be proficient in designing and developing your search engine.

Elasticsearch: The Definitive Guide

A Distributed Real-Time Search and Analytics Engine
Author: Clinton Gormley,Zachary Tong
Publisher: "O'Reilly Media, Inc."
ISBN: 1449358500
Category: Computers
Page: 724
View: 1168

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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 data with Elasticsearch, but also helps you deal with the complexities of human language, geolocation, and relationships. If you’re a newcomer to both search and distributed systems, you’ll quickly learn how to integrate Elasticsearch into your application. More experienced users will pick up lots of advanced techniques. Throughout the book, you’ll follow a problem-based approach to learn why, when, and how to use Elasticsearch features. Understand how Elasticsearch interprets data in your documents Index and query your data to take advantage of search concepts such as relevance and word proximity Handle human language through the effective use of analyzers and queries Summarize and group data to show overall trends, with aggregations and analytics Use geo-points and geo-shapes—Elasticsearch’s approaches to geolocation Model your data to take advantage of Elasticsearch’s horizontal scalability Learn how to configure and monitor your cluster in production

Lucene in Action


Author: Michael McCandless,Erik Hatcher,Otis Gospodnetić
Publisher: Manning Publications
ISBN: 9781933988177
Category: Computers
Page: 488
View: 7106

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Lucene remains an indispensable part of most enterprise applications. This search engine now powers Web options in diverse companies, including Netflix, LinkedIn, and the Mayo Clinic. This updated edition is the definitive guide to developing with Lucene.

Scaling Apache Solr


Author: Hrishikesh Vijay Karambelkar
Publisher: Packt Publishing Ltd
ISBN: 178398175X
Category: Computers
Page: 298
View: 8995

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This book is a step-by-step guide for readers who would like to learn how to build complete enterprise search solutions, with ample real-world examples and case studies. If you are a developer, designer, or architect who would like to build enterprise search solutions for your customers or organization, but have no prior knowledge of Apache Solr/Lucene technologies, this is the book for you.

Search Engines

Information Retrieval in Practice
Author: Bruce Croft,Donald Metzler,Trevor Strohman
Publisher: Pearson Higher Ed
ISBN: 0133001598
Category: Computers
Page: 552
View: 6336

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This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. Search Engines: Information Retrieval in Practice is ideal for introductory information retrieval courses at the undergraduate and graduate level in computer science, information science and computer engineering departments. It is also a valuable tool for search engine and information retrieval professionals. Written by a leader in the field of information retrieval, Search Engines: Information Retrieval in Practice , is designed to give undergraduate students the understanding and tools they need to evaluate, compare and modify search engines. Coverage of the underlying IR and mathematical models reinforce key concepts. The book’s numerous programming exercises make extensive use of Galago, a Java-based open source search engine.

Elasticsearch: A Complete Guide


Author: Bharvi Dixit,Rafal Kuc,Marek Rogozinski,Saurabh Chhajed
Publisher: Packt Publishing Ltd
ISBN: 1787287394
Category: Computers
Page: 826
View: 4021

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End-to-end Search and Analytics About This Book Solve your data analytics problems with the Elastic Stack Improve your user search experience with Elasticsearch and develop your own Elasticsearch plugins Design your index, configure it, and distribute it — you'll also learn how it works Who This Book Is For This course is for anyone who wants to build efficient search and analytics applications. Some development experience is expected. What You Will Learn Install and configure Elasticsearch, Logstash, and Kibana Write CRUDE operations and other search functionalities using the Elasticsearch Python and Java Clients Build analytics using aggregations Set up and scale Elasticsearch clusters using best practices Master document relationships and geospatial data Build your own data pipeline using Elastic Stack Choose the appropriate amount of shards and replicas for your deployment Become familiar with the Elasticsearch APIs In Detail Elasticsearch is a modern, fast, distributed, scalable, fault tolerant, open source search and analytics engine. It provides a new level of control over how you can index and search even huge sets of data. This course will take you from the basics of Elasticsearch to using Elasticsearch in the Elastic Stack and in production. You'll start with the very basics: Elasticsearch terminology, installation, and configuring Elasticsearch. After this, you'll take a look at analytics and indexing, search, and querying. You'll learn how to create maps and visualizations. You'll also be briefed on cluster scaling, search and bulk operations, backups, and security. Then you'll be ready to get into Elasticsearch's internal functionalities including caches, Apache Lucene library, and its monitoring capabilities. You'll learn about the practical usage of Elasticsearch configuration parameters and how to use the monitoring API. You'll discover how to improve the user search experience, index distribution, segment statistics, merging, and more. Once you have mastered this, you'll dive into end-to-end visualize-analyze-log techniques with Elastic Stack (also known as the ELK stack). You'll explore Elasticsearch, Logstash, and Kibana and see how to make them work together to build fresh insights and business metrics out of data. You'll be able to use Elasticsearch with other de facto components in order to get the most out of Elasticsearch. By the end of this course, you'll have developed a full-fledged data pipeline. This Learning Path combines some of the best that Packt has to offer in one complete, curated package. It includes content from the following Packt products: Elasticsearch Essentials Mastering Elasticsearch, Second Edition Learning ELK Stack Style and approach This course aims to create a smooth learning path that will teach you how to effectively use Elasticsearch with other de facto components and get the most out of Elasticsearch. Through this comprehensive course, you'll learn the basics of Elasticsearch and progress to using Elasticsearch in the Elastic stack and in production.