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

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 v...

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Bibliographic Details
Main Authors Khan Samee U, Zomaya Albert Y, Khalid Osman
Format eBook
LanguageEnglish
Published Institution of Engineering and Technology (The IET) 2019
Subjects
General References
Software Engineering
Online AccessGet full text
ISBN9811785619
9789811785610

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Summary: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.
ISBN:9811785619
9789811785610