Recommender Systems

Nonfiction, Computers, Advanced Computing, Information Technology
Cover of the book Recommender Systems by Imad Saleh, Gérald Kembellec, Ghislaine Chartron, Wiley
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Author: Imad Saleh, Gérald Kembellec, Ghislaine Chartron ISBN: 9781119054238
Publisher: Wiley Publication: December 4, 2014
Imprint: Wiley-ISTE Language: English
Author: Imad Saleh, Gérald Kembellec, Ghislaine Chartron
ISBN: 9781119054238
Publisher: Wiley
Publication: December 4, 2014
Imprint: Wiley-ISTE
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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