Big Data Recommender Systems: Volume 1 : Algorithms, Architectures, Big Data, Security and Trust (9781785619755)

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.

Product details

• Format Hardback | 368 pages
• Dimensions 156 x 234 x 22.86mm | 680.39g
• Publication date 29 Aug 2019
• Publisher Institution of Engineering and Technology
• Publication City/Country Stevenage, United Kingdom
• Language English
• ISBN10 1785619756
• ISBN13 9781785619755
• Bestsellers rank 3,676,755

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