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Recommender Systems (Iste) PDF

253 Pages·2014·3.7 MB·English
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by Gerald Kembellec| 2014| 253 pages| 3.7| English

About Recommender Systems (Iste)

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.

Detailed Information

Author:Gerald Kembellec
Publication Year:2014
Pages:253
Language:English
File Size:3.7
Format:PDF
Price:FREE
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