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Relevant Search
Language: un
Pages: 250
Authors: Doug Turnbull, John Berryman
Categories:
Type: BOOK - Published: 2016-05-01 - Publisher: Manning Publications

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
Relevant Search
Language: en
Pages: 360
Authors: John Berryman, Doug Turnbull
Categories: Computers
Type: BOOK - Published: 2016-06-19 - Publisher: Simon and Schuster

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. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About
Relevance Ranking for Vertical Search Engines
Language: en
Pages: 264
Authors: Bo Long, Yi Chang
Categories: Computers
Type: BOOK - Published: 2014-01-25 - Publisher: Newnes

In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search ranking, Relevance Ranking for Vertical Search Engines teaches readers how to manipulate ranking algorithms to achieve better results in real-world applications. This reference book for professionals covers concepts and theories from
Ebira in Search of Relevance
Language: en
Pages: 205
Authors: Joseph O. Suleiman
Categories: Ebira (African people)
Type: BOOK - Published: 2002 - Publisher:

Books about Ebira in Search of Relevance
Relevant Search
Language: un
Pages: 360
Authors: Doug Berryman
Categories: Data mining
Type: BOOK - Published: 2016 - Publisher:

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 search results. To achieve this, you must master the