Recommender Systems
Gérald Kembellec, Ghislaine Chartron, Imad Saleh, Gérald Kembellec
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.
Categorías:
Año:
2014
Edición:
1
Editorial:
John Wiley & Sons, Incorporated
Idioma:
english
Páginas:
253
ISBN 10:
1119054249
ISBN 13:
9781119054245
Archivo:
PDF, 3.63 MB
IPFS:
,
english, 2014