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Big Data Recommender Systems

Big Data Recommender Systems - IET Professional Applications of Computing Series

Paperback (29 Aug 2019)

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Publisher's Synopsis

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.

Book information

ISBN: 9781785619793
Publisher: The Institution of Engineering and Technology
Imprint: Institution of Engineering and Technology
Pub date:
DEWEY: 005.7
DEWEY edition: 23
Language: English
Number of pages: 888
Weight: -1g
Height: 234mm
Width: 156mm