PDF DOWNLOAD Online PDF Relevant Search: With Examples Using Elasticsearch and Solr Read Online Details
Details Product: 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.
Author: Doug Turnbull
Language: English
Format: PDF / EPUB / MOBI
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PDF Download Relevant Search: With Examples
Using Elasticsearch and Solr Full Online
Description PDF Download Relevant Search: With
Examples Using Elasticsearch and Solr Full Online
Users expect search to be simple: They enter a few terms and expect perfectlyorganized,
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.
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