Recommender Systems - Rilegato

 
9781848217683: Recommender Systems
Rilegato
ISBN 10: 1848217684 ISBN 13: 9781848217683
Casa editrice: Iste/Hermes Science Pub, 2014

Sinossi

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.

Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.

Informazioni sull?autore

Lecturer at the GERiiCO laboratory at University Lille 3, Gerald Kembellec specializes in information science and communication.

Professor of Documentary Engineering Chair of CNAM, Ghislaine Chartron is director of the National Institute of Science and Technical documentation.

Professor at the University Paris 8, Imad Saleh is the Paragraph laboratory director and director of the graduate school Cognition Language Interaction.

Le informazioni nella sezione "Su questo libro" possono far riferimento a edizioni diverse di questo titolo.

Editore
Iste/Hermes Science Pub
Data di pubblicazione
2014
Lingua
Inglese
ISBN 10 
1848217684
ISBN 13 
9781848217683
Rilegatura
Copertina rigida
Numero edizione
1
Numero di pagine
232
Redattore
Kembellec Gerald, Chartron Ghislaine, Saleh Imad
Contatto del produttore
non disponibile
Persona responsabile
non disponibile