Recommender Systems

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Synopsis

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.

Book details

Author:
Gérald Kembellec, Ghislaine Chartron, Imad Saleh
ISBN:
9781119054245
Related ISBNs:
9781119054252, 9781848217683
Publisher:
Wiley
Pages:
256
Reading age:
Not specified
Includes images:
No
Date of addition:
2019-11-06
Usage restrictions:
Copyright
Copyright date:
2014
Copyright by:
N/A 
Adult content:
No
Language:
English
Categories:
Computers and Internet, Nonfiction