Books: 11

Solr

CoverTitleYear
With applications for Solr and Elasticsearch
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. About the Technology Users are accustomed to and expect instant, relevant more » 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 « less
2016
Leverage the power of Apache Solr to create efficient search applications
Search is everywhere. Users always expect a search facility in mobile or web applications that allows them to find things in a fast and friendly manner. Apache Solr Essentials is a fast-paced guide to help you quickly learn the process of creating a scalable, efficient, and powerful search application. more » The book starts off by explaining the fundamentals of Solr and then goes on to cover various topics such as data indexing, ways of extending Solr, client APIs and their indexing and data searching capabilities, an introduction to the administration, monitoring, and tuning of a Solr instance, as well as the concepts of sharding and replication. Next, you'll learn about various Solr extensions and how to contribute to the Solr community. By the end of this book, you will be able to create excellent search applications with the help of Solr. « less
2015
Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently
Apache Solr is an open source search platform built on a Java library called Lucene. It serves as a search platform for many websites, as it has the capability of indexing and searching multiple websites to fetch desired results. We begin with a brief introduction of analyzers and tokenizers to understand more » the challenges associated with implementing large-scale indexing and multilingual search functionality. We then move on to working with custom queries and understanding how filters work internally. While doing so, we also create our own query language or Solr plugin that does proximity searches. Furthermore, we discuss how Solr can be used for real-time analytics and tackle problems faced during its implementation in e-commerce search. We then dive deep into the spatial features such as indexing strategies and search/filtering strategies for a spatial search. We also do an in-depth analysis of problems faced in an ad serving platform and how Solr can be used to solve these problems. « less
2015
Boost the performance of Solr instances and troubleshoot real-time problems
Apache Solr is one of the most popular open source search servers available on the web. However, simply setting up Apache Solr is not enough to ensure the success of your web product. To maximize efficiency, you need to use techniques to boost Solr performance in order to return relevant results faster. more » You need to implement robust techniques that focus on optimizing the performance of your Solr instances and also troubleshoot issues that are prone to arise while maintaining Solr. Apache Solr High Performance is a practical guide that will help you explore and take full advantage of the robust nature of Apache Solr so as to achieve optimized Solr instances, especially in terms of performance. « less
2014
Solr in Action is a comprehensive guide to implementing scalable search using Apache Solr. This clearly written book walks you through well-documented examples ranging from basic keyword searching to scaling a system for billions of documents and queries. It will give you a deep understanding of how more » to implement core Solr capabilities. Solr in Action teaches you to implement scalable search using Apache Solr. This easy-to-read guide balances conceptual discussions with practical examples to show you how to implement all of Solr's core capabilities. You'll master topics like text analysis, faceted search, hit highlighting, result grouping, query suggestions, multilingual search, advanced geospatial and data operations, and relevancy tuning. « less
2014
Master the use of Drupal and associated scripts to administrate, monitor, and optimize Solr
Implementing different search engines on web products is a mandate these days. Apache Solr is a robust search engine, but simply implementing Apache Solr and forgetting about it is not a good idea, especially when you have to fight for the search ranking of your web product. In such a scenario, you need more » to keep monitoring, administrating, and optimizing your Solr to retain your ranking. Administrating Solr is a practical, hands-on guide. This book will provide you with a number of clear, step-by-step exercises and some advanced concepts which will help you administrate, monitor, and optimize Solr using Drupal and associated scripts. Administrating Solr will also provide you with a solid grounding on how you can use Apache Solr with Drupal. « less
2013
Over 100 recipes to make Apache Solr faster, more reliable, and return better results
Learn how to make Apache Solr search faster, more complete, and comprehensively scalable. Solve performance, setup, configuration, analysis, and query problems in no time. Get to grips with, and master, the new exciting features of Apache Solr 4.
2013
Learn exciting new ways to build efficient, high performance enterprise search repositories for Big Data using Hadoop and Solr
As data grows exponentially day-by-day, extracting information becomes a tedious activity in itself. Technologies like Hadoop are trying to address some of the concerns, while Solr provides high-speed faceted search. Bringing these two technologies together is helping organizations resolve the problem more » of information extraction from Big Data by providing excellent distributed faceted search capabilities. Scaling Big Data with Hadoop and Solr is a step-by-step guide that helps you build high performance enterprise search engines while scaling data. Starting with the basics of Apache Hadoop and Solr, this book then dives into advanced topics of optimizing search with some interesting real-world use cases and sample Java code. « less
2013
Comprehensive information on Apache Solr 3 with examples and tips so you can focus on the important parts. Integration examples with databases, web-crawlers, XSLT, Java & embedded-Solr, PHP & Drupal, JavaScript, Ruby frameworks. Advice on data modeling, deployment considerations to include security, more » logging, and monitoring, and advice on scaling Solr and measuring performance. An update of the best-selling title on Solr 1.4. « less
2011
Over 100 recipes to discover new ways to work with Apache’s Enterprise Search Server
Apache Solr is a fast, scalable, modern, open source, and easy-to-use search engine. It allows you to develop a professional search engine for your ecommerce site, web application, or back office software. Setting up Solr is easy, but configuring it to get the most out of your site is the difficult bit. The more » Solr 3.1 Cookbook will make your everyday work easier by using real-life examples that show you how to deal with the most common problems that can arise while using the Apache Solr search engine. Why waste your time searching the Internet for solutions when you can have all the answers in one place? This cookbook will show you how to get the most out of your search engine. Each chapter covers a different aspect of working with Solr from analyzing your text data through querying, performance improvement, and developing your own modules. The practical recipes will help you to quickly solve common problems with data analysis, show you how to use faceting to collect data and to speed up the performance of Solr. You will learn about functionalities that most newbies are unaware of, such as sorting results by a function value, highlighting matched words, and computing statistics to make your work with Solr easy and stress free. « less
2011