Relevant Search (Paperback)

DESCRIPTION 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. KEY FEATURES Highly relevant, concrete, hands-on guide Digs deep into search engine technology Contains essential tools, tips, and strategies for building engaging search engines AUDIENCE For readers who can code moderately complex tasks. ABOUT THE TECHNOLOGY Lucene is the underlying technology that backs both Elasticsearch and Solr. Dominant search engines are based upon Lucene and since Lucene itself is based upon the strong foundation of Information Retrieval research, the book will be applicable to almost any search technology available now or in the foreseeable future.

General

Imprint:	Manning Publications
Country of origin:	United States
Release date:	July 2016
Authors:	Doug Turnbull
Dimensions:	235 x 188 x 18mm (L x W x T)
Format:	Paperback
Pages:	360
ISBN-13:	978-1-61729-277-4
Categories:	Books > Computing & IT > Applications of computing > Databases > Web / Internet databases Promotions
LSN:	1-61729-277-X
Barcode:	9781617292774

Is the information for this product incomplete, wrong or inappropriate? Let us know about it.

Does this product have an incorrect or missing image? Send us a new image.

Is this product missing categories? Add more categories.

Review This Product

No reviews yet - be the first to create one!