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Relevance ranking for vertical search engines /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Long, Bo (Editor ), Chang, Yi (Writer on computers) (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam : Elsevier/Morgan Kaufmann, [2014]
Temas:
Acceso en línea:Texto completo

MARC

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245 0 0 |a Relevance ranking for vertical search engines /  |c edited by Bo Long, Yi Chang. 
264 1 |a Amsterdam :  |b Elsevier/Morgan Kaufmann,  |c [2014] 
264 4 |c �2014 
300 |a 1 online resource (xxiii, 239 pages) :  |b illustrations (some color) 
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520 |a 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. Introduces ranking algorithms and teaches readers how to manipulate ranking algorithms for the best resultsCovers concepts and theories from the fundamental to the advancedDiscusses the state of the art: development of theories and practices in vertical search ranking applicationsIncludes detailed examples, case studies and real-world examples. 
504 |a Includes bibliographical references (pages 201-221) and index. 
505 0 |a News search ranking -- Medical domain search ranking -- Visual search ranking -- Mobile search ranking -- Entity ranking -- Multi-aspect relevance ranking -- Aggregated vertical search -- Cross vertical search ranking. 
588 0 |a Print version record. 
650 0 |a Text processing (Computer science) 
650 0 |a Sorting (Electronic computers) 
650 0 |a Relevance. 
650 0 |a Database searching. 
650 0 |a Search engines  |x Programming. 
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650 6 |a Traitement de texte.  |0 (CaQQLa)201-0013849 
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650 6 |a Pertinence.  |0 (CaQQLa)201-0392727 
650 6 |a Bases de donn�ees  |x Interrogation.  |0 (CaQQLa)201-0076340 
650 6 |a Moteurs de recherche  |x Programmation.  |0 (CaQQLa)201-0341928 
650 7 |a online searching.  |2 aat  |0 (CStmoGRI)aat300137549 
650 7 |a LANGUAGE ARTS & DISCIPLINES  |x Library & Information Science  |x General.  |2 bisacsh 
650 7 |a Database searching.  |2 fast  |0 (OCoLC)fst00888058 
650 7 |a Relevance.  |2 fast  |0 (OCoLC)fst01093637 
650 7 |a Search engines  |x Programming.  |2 fast  |0 (OCoLC)fst01110373 
650 7 |a Sorting (Electronic computers)  |2 fast  |0 (OCoLC)fst01126867 
650 7 |a Text processing (Computer science)  |2 fast  |0 (OCoLC)fst01148527 
700 1 |a Long, Bo,  |e editor. 
700 1 |a Chang, Yi  |c (Writer on computers),  |e editor. 
776 0 8 |i Print version:  |t Relevance ranking for vertical search engines.  |d Amsterdam : Morgan Kaufmann, an imprint of Elsevier, [2014]  |z 9780124071711  |w (DLC) 2013039777  |w (OCoLC)861211374 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9780124071711  |z Texto completo