Recommender Systems

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Éditeur :

Wiley-ISTE


Paru le : 2014-12-04

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163,47

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Description

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 understanding of the underlying models for recommender systems and describes their historical perspective. It also analyzes their development in the content offerings and assesses their impact on user behavior.
Pages
252 pages
Collection
n.c
Parution
2014-12-04
Marque
Wiley-ISTE
EAN papier
9781848217683
EAN PDF
9781119054245

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
252
Taille du fichier
6134 Ko
Prix
163,47 €
EAN EPUB
9781119054238

Informations sur l'ebook
Nombre pages copiables
0
Nombre pages imprimables
252
Taille du fichier
4045 Ko
Prix
163,47 €

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