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Posted to dev@lucene.apache.org by "Alexandre Rafalovitch (JIRA)" <ji...@apache.org> on 2016/10/03 01:26:20 UTC
[jira] [Reopened] (SOLR-7565) Adding new Manning Publications MEAP
"Relevant Search" to official Solr website book section and news
[ https://issues.apache.org/jira/browse/SOLR-7565?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Alexandre Rafalovitch reopened SOLR-7565:
-----------------------------------------
The book is now available.
It may also be possible to ask for a discount code to list next to the book for the people who discovered it from the Solr documentation page.
> Adding new Manning Publications MEAP "Relevant Search" to official Solr website book section and news
> -----------------------------------------------------------------------------------------------------
>
> Key: SOLR-7565
> URL: https://issues.apache.org/jira/browse/SOLR-7565
> Project: Solr
> Issue Type: Task
> Components: documentation
> Reporter: Nicole Butterfield
> Priority: Minor
> Labels: documentation, easyfix, patch
> Attachments: Turnbull-RS-HI.jpg
>
>
> Doug Turnbull, John Berryman and Manning Publications are proud to announce the new MEAP Relevant Search.
> Relevant Search demystifies relevance work. It teaches you how to return engaging search results to your users, helping you understand and leverage the internals of Lucene-based search engines. Relevant Search 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. You'll see 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.
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