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 /
Annotation
Saved in:
| Main Author: | |
|---|---|
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Birmingham :
Packt Publishing,
2015.
|
| Series: | Community experience distilled.
|
| Subjects: | |
| Online Access: | DE-862 DE-863 |
| Summary: | Annotation |
| Item Description: | Includes index. |
| Physical Description: | 1 online resource : illustrations |
| ISBN: | 9781783981854 1783981857 |
Staff View
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| 245 | 1 | 0 | |a Apache Solr search patterns : |b leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently / |c Jayant Kumar. |
| 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 |
| 264 | 1 | |a Birmingham : |b Packt Publishing, |c 2015. | |
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| 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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| contents | 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 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 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 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 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 |
| ctrlnum | (OCoLC)909284837 |
| dewey-full | 005.36 |
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| publisher | Packt Publishing, |
| record_format | marc |
| series | Community experience distilled. |
| series2 | Community experience distilled |
| spelling | Kumar, Jayant, author. 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 / Jayant Kumar. Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently Birmingham : Packt Publishing, 2015. 1 online resource : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier text file Community experience distilled Online resource; title from cover page (Safari, viewed May 12, 2015). Includes index. 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. 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 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 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 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 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 English. Apache (Computer file : Apache Group) http://id.loc.gov/authorities/names/no97023874 Apache (Computer file : Apache Group) fast Internet searching. http://id.loc.gov/authorities/subjects/sh98006428 Search engines Programming. http://id.loc.gov/authorities/subjects/sh00001051 Recherche sur Internet. Moteurs de recherche Programmation. COMPUTERS Web Search Engines. bisacsh Internet searching fast Search engines Programming fast has work: Apache Solr search patterns (Text) https://id.oclc.org/worldcat/entity/E39PCFYChJRGB4r9cWhqt3BRYX https://id.oclc.org/worldcat/ontology/hasWork 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 Community experience distilled. http://id.loc.gov/authorities/names/no2011030603 |
| spellingShingle | 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 / Community experience distilled. 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 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 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 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 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 Apache (Computer file : Apache Group) http://id.loc.gov/authorities/names/no97023874 Apache (Computer file : Apache Group) fast Internet searching. http://id.loc.gov/authorities/subjects/sh98006428 Search engines Programming. http://id.loc.gov/authorities/subjects/sh00001051 Recherche sur Internet. Moteurs de recherche Programmation. COMPUTERS Web Search Engines. bisacsh Internet searching fast Search engines Programming fast |
| subject_GND | http://id.loc.gov/authorities/names/no97023874 http://id.loc.gov/authorities/subjects/sh98006428 http://id.loc.gov/authorities/subjects/sh00001051 |
| title | 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 / |
| title_alt | Leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently |
| title_auth | 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 / |
| title_exact_search | 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 / |
| title_full | 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 / Jayant Kumar. |
| title_fullStr | 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 / Jayant Kumar. |
| title_full_unstemmed | 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 / Jayant Kumar. |
| title_short | Apache Solr search patterns : |
| title_sort | 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 |
| title_sub | leverage the power of Apache Solr to power up your business by navigating your users to their data quickly and efficiently / |
| topic | Apache (Computer file : Apache Group) http://id.loc.gov/authorities/names/no97023874 Apache (Computer file : Apache Group) fast Internet searching. http://id.loc.gov/authorities/subjects/sh98006428 Search engines Programming. http://id.loc.gov/authorities/subjects/sh00001051 Recherche sur Internet. Moteurs de recherche Programmation. COMPUTERS Web Search Engines. bisacsh Internet searching fast Search engines Programming fast |
| topic_facet | Apache (Computer file : Apache Group) Internet searching. Search engines Programming. Recherche sur Internet. Moteurs de recherche Programmation. COMPUTERS Web Search Engines. Internet searching Search engines Programming |
| work_keys_str_mv | AT kumarjayant apachesolrsearchpatternsleveragethepowerofapachesolrtopowerupyourbusinessbynavigatingyouruserstotheirdataquicklyandefficiently AT kumarjayant leveragethepowerofapachesolrtopowerupyourbusinessbynavigatingyouruserstotheirdataquicklyandefficiently |