Название: Big Data Recommender Systems - Volume 2: Application paradigms (Computing and Networks)
Автор: Osman Khalid (Editor), Samee U. Khan (Editor), Albert Y. Zomaya (Editor)
Издательство: The Institution of Engineering and Technology
Год: 2019
Формат: True PDF
Страниц: 536
Размер: 11.5 Mb
Язык: English

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 23 chapters.