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Title Big data recommender systems. Volume 2, Application paradigms / edited by Osman Khalid, Samee U. Khan and Albert Y. Zomaya
Published Stevenage : IET, 2019


Description 1 online resource (536 pages)
Series IET Professional Applications of Computing Series ; 35
Professional applications of computing series ; 35.
Summary The increase in the volumes of data creates new challenges that require novel and more efficient solutions to handle big data and scalability issues. Today we are witnessing advances in many areas that are dependent on recommender systems such as social networks, e-commerce websites, search engines, blogs, and sensor networks. Many of these advances are due to the many developments in algorithmics and analytics, wireless networking, Internet of things, high performance computing, and more. Volume 2, Big Data Recommender Systems: Application Paradigms, presents a good overview of the many applications that show the richness of this field and its great potential
Analysis application paradigms
big data recommender systems
Bibliography Includes bibliographical references and index
Notes Online resource; title from PDF title page (IET, viewed September 19, 2019)
Subject Recommender systems (Information filtering)
Big data.
Recommender systems (Information filtering)
Big data
Big Data.
recommender systems.
Form Electronic book
Author Khalid, Osman, editor
Khan, Samee Ullah, editor.
Zomaya, Albert Y., editor.
ISBN 9781785619786