Recommender system with machine learning and artificial intelligence : practical tools and applications in medical, agricultural and other industries /

"The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven...

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Bibliographic Details
Other Authors:	Mohanty, Sachi Nandan (Editor), Chatterjee, Jyotir Moy (Editor), Jain, Sarika (Editor), Elngar, Ahmed A. (Editor), Gupta, Priya (Professor of computer science) (Editor)
Format:	eBook
Language:	English
Published:	Hoboken, NJ : Wiley-Scrivener, John Wiley & Sons, Inc., 2020.
Series:	Machine learning in biomedical science and healthcare informatics
Subjects:	Recommender systems (Information filtering) Machine learning. Artificial intelligence. Artificial Intelligence
Online Access:	Connect to the full text of this electronic book

Description
Summary:	"The explosive growth of e-commerce and online environments has made the issue of information search and selection increasingly serious; users are overloaded by options to consider and they may not have the time or knowledge to personally evaluate these options. Recommender systems have proven to be a valuable way for online users to cope with the information overload and have become one of the most powerful and popular tools in electronic commerce. Correspondingly, various techniques for recommendation generation have been proposed. During the last decade, many of them have also been successfully deployed in commercial environments"--
Physical Description:	1 online resource (xxiii, 423 pages : : illustrations.)
Bibliography:	Includes bibliographic references and index.
ISBN:	9781119711582 (electronic bk.) 1119711584 (electronic bk.)