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Recommender systems /

Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Kembellec, Gérald (Editor ), Chartron, Ghislaine (Editor ), Saleh, Imad, 1960- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : Hoboken, NJ : ISTE ; Wiley, 2014.
Temas:
Acceso en línea:Texto completo
Descripción
Sumario:Acclaimed by various content platforms (books, music, movies) and auction sites online, recommendation systems are key elements of digital strategies. If development was originally intended for the performance of information systems, the issues are now massively moved on logical optimization of the customer relationship, with the main objective to maximize potential sales. On the transdisciplinary approach, engines and recommender systems brings together contributions linking information science and communications, marketing, sociology, mathematics and computing. It deals with the understan.
Descripción Física:1 online resource
Bibliografía:Includes bibliographical references and index.
ISBN:9781119054252
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1322436894