Recommender Systems (Hardcover)

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.

General

Imprint:	Iste Ltd And John Wiley & Sons Inc
Country of origin:	United Kingdom
Release date:	November 2014
Authors:	G Kembellec
Dimensions:	239 x 168 x 20mm (L x W x T)
Format:	Hardcover
Pages:	252
ISBN-13:	978-1-84821-768-3
Categories:	Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Knowledge-based systems / expert systems Promotions
LSN:	1-84821-768-4
Barcode:	9781848217683

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