Big Data Recommender Systems, Volume 1 - Algorithms, Architectures, Big Data, Security and Trust (Hardcover)

First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we have seen an exponential increase in the volumes of data, which has introduced many new challenges. Divided into two volumes, this comprehensive set covers recent advances, challenges, novel solutions, and applications in big data recommender systems. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters.

General

Imprint:	Institution Of Engineering And Technology
Country of origin:	United Kingdom
Series:	Computing and Networks
Release date:	August 2019
First published:	2019
Editors:	Osman Khalid (Assistant Professor) • Samee U. Khan (Associate Professor) • Albert Y. Zomaya (Chair Professor)
Dimensions:	234 x 156mm (L x W)
Format:	Hardcover
Pages:	368
ISBN-13:	978-1-78561-975-5
Categories:	Books > Computing & IT > Computer communications & networking > General
LSN:	1-78561-975-6
Barcode:	9781785619755

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