Product Information
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 2 covers a broad range of application paradigms for recommender systems over 22 chapters. Volume 1 contains 14 chapters addressing foundations, algorithms and architectures, approaches for big data, and trust and security measures.Product Identifiers
PublisherInstitution of Engineering AND Technology
ISBN-139781785619779
eBay Product ID (ePID)4046617964
Product Key Features
Number of Pages520 Pages
LanguageEnglish
Publication NameBig Data Recommender Systems: Application Paradigms: Volume 2
Publication Year2019
SubjectComputer Science
TypeTextbook
AuthorOsman Khalid, Albert Y. Zomaya, Samee U. Khan
SeriesComputing and Networks
Dimensions
Item Height234 mm
Item Width156 mm
Additional Product Features
EditorAlbert Y. Zomaya, Osman Khalid, Samee U. Khan
Country/Region of ManufactureUnited Kingdom