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Book Overview In plain, uncomplicated language, and using detailed examples to explain the key concepts, models, and algorithms in vertical search rank...
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 the fundamental to the advanced, such as relevance, query intention, location-based relevance ranking, and cross-property ranking. It covers the most recent developments in vertical search ranking applications, such as freshness-based relevance theory for new search applications, location-based relevance theory for local search applications, and cross-property ranking theory for applications involving multiple verticals.
Book Details Format: Paperback | Pages: 264 | Language: English | Publisher: MORGAN KAUFMANN PUBL INC | ISBN: 0124071716
FormatPaperback
Pages264
LanguageEnglish
ISBN0124071716
EAN9780124071711
PublisherMORGAN KAUFMANN PUBL INC
Publication Date1970-01-01
Edition1
AccessoriesNo Accessory
ConditionNew
Product TypeQUALITY PAPERBACK BOOKS
Weight1.15 Pounds
Length9.1 Inches
Width7.5 Inches
Height0.8 Inches
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