Big Data Recommender Systems
Algorithms, Architectures, Big Data, Security and Trust
Albert Y Zomaya editor Samee U Khan editor Osman Khalid editor
Format:Hardback
Publisher:Institution of Engineering and Technology
Published:4th Jul '19
Should be back in stock very soon
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: 9781785619755
Dimensions: unknown
Weight: unknown
368 pages