Big Data Recommender Systems - Volume 2 : Application Paradigms /

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,...

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Bibliographic Details

Corporate Author:	Institution of Engineering and Technology
Other Authors:	Khalid, Osman (Editor), Khan, Samee U. (Editor), Zomaya, Albert Y. (Editor)
Format:	eBook
Language:	English
Published:	Stevenage : IET, 2019.
Series:	Computing.
Subjects:	Big Data. recommender systems. application paradigms big data recommender systems
Online Access:	Connect to the full text of this electronic book