Apache Solr search patterns : leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently /

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Bibliographic Details
Author / Creator:Kumar, Jayant, author.
Imprint:Birmingham : Packt Publishing, 2015.
Description:1 online resource : illustrations
Language:English
Series:Community experience distilled
Community experience distilled.
Subject:Apache (Computer file : Apache Group)
Apache (Computer file : Apache Group)
Internet searching.
Search engines -- Programming.
COMPUTERS -- Web -- Search Engines.
Internet searching.
Search engines -- Programming.
Electronic books.
Electronic books.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11907573
Hidden Bibliographic Details
Varying Form of Title:Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently
ISBN:9781783981854
1783981857
1783981857
1783981849
9781783981847
Notes:Includes index.
Online resource; title from cover page (Safari, viewed May 12, 2015).
Summary:Annotation 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.
Other form:Print version: Kumar, Jayant. Apache Solr search patterns : leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently. Birmingham, England : Packt Publishing, ©2015 xi, 292 pages Community experience distilled. 9781783981847
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246 3 0 |a Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently 
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588 0 |a Online resource; title from cover page (Safari, viewed May 12, 2015). 
500 |a Includes index. 
520 8 |a Annotation  |b 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. 
505 0 |a Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Solr Indexing Internals; The job site problem statement -- Solr indexing fundamentals; Working of analyzers, tokenizers and filters; Handling multilingual search; Measuring the quality of search results; The E-commerce problem statement; The job site problem statement; Challenges of large-scale indexing; Using multiple threads for indexing on Solr; Using Java binary format of data for indexing; Using the ConcurrentUpdateSolrServer class for indexing 
505 8 |a Solr configuration changes that can improve indexing performancePlanning your commit strategy; Using better hardware; Distributed indexing; The SolrCloud solution; Summary; Chapter 2: Customizing the Solr Scoring Algorithm; Relevance calculation; Building a custom scorer; Drawbacks of the TF-IDF model; The information gain model; Implementing the information gain model; Options to TF-IDF similarity; BM25 similarity; DFR similarity; Summary; Chapter 3: Solr Internals and Custom Queries; Working of a scorer on an inverted index; Working of OR and AND clauses; The eDisMax query parser 
505 8 |a Working of the eDisMax query parserThe minimum should match parameter; Working of filters; Using BRS queries instead of DisMax; Building custom query parser; Proximity search using SWAN queries; Creating a parboiled parser; Building a Solr plugin for SWAN queries; Integrating the SWAN plugin in Solr; Summary; Chapter 4: Solr for Big Data; Introduction to big data; Getting data points using facets; Field faceting; Query and range faceting; Radius faceting for location-based data; The geofilt filter; The bounding box filter; Rectangle filter; Distance function queries; Radius faceting 
505 8 |a Data analysis using pivot facetingGraphs for analytics; Getting started with Highcharts; Displaying Solr data using Highcharts; Summary; Chapter 5: Solr in E-commerce; Designing an e-commerce search; Handling unclean data; Handling variations in the product; Sorting; Problems and solutions of flash sale searches; Faceting with the option of multi-select; Faceting with hierarchical taxonomy; Faceting with size; Implementing semantic search; Optimizations; Summary; Chapter 6: Solr for Spatial Search; Features of spatial search; Java Topology Suite; Well-known Text; The Spatial4j library 
505 8 |a Lucene 4 spatial moduleSpatialRecursivePrefixTreeFieldType; BBoxField (to be introduced in Solr 4.10); Indexing for spatial search; Searching and filtering on a spatial index; The bbox query; Distance sort and relevancy boost; Advanced concepts; Quadtree; Indexing data; Searching data; Geohash; Summary; Chapter 7: Using Solr in an Advertising System; Ad system functionalities; Architecture of an ad distribution system; Requirements of an ad distribution system; Schema for a listing ad; Schema for targeted ads; Performance improvements; fieldCache; fieldValueCache; documentCache; filterCache 
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