Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Big Data Recommender Systems: Algorithms, Architectures, Big Data, Security And TrustISBN13:9781785619755ISBN10:1785619756Author:Khalid, Osman (Editor), Khan, Samee U. (Editor), Zomaya, Albert y. (Editor)Description: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 22 Chapters Binding:Hardcover, HardcoverPublisher:Institution of Engineering & TechnologyPublication Date:2019-08-29Weight:1.5 lbsDimensions:0.9'' H x 9.4'' L x 6.3'' WNumber of Pages:368Language:English
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Book Title: Big Data Recommender Systems: Algorithms, Architectures, Big...
Item Length: 9.2in
Item Width: 6.1in
Author: Samee U. Khan
Publication Name: Big Data Recommender Systems : Algorithms, Architectures, Big Data, Security and Trust
Format: Hardcover
Language: English
Publisher: Institution of Engineering & Technology
Publication Year: 2019
Series: Computing and Networks Ser.
Type: Textbook
Number of Pages: 368 Pages
