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Big Data Recommender Systems: Application Paradigms

Description: Please refer to the section BELOW (and NOT ABOVE) this line for the product details - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Title:Big Data Recommender Systems: Application ParadigmsISBN13:9781785619779ISBN10:1785619772Author: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:1.9 lbsDimensions:1.2'' H x 9.4'' L x 6.3'' WNumber of Pages:520Language:English

Price: 142.04 USD

Location: USA

End Time: 2024-11-06T14:04:09.000Z

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Big Data Recommender Systems: Application Paradigms

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Book Title: Big Data Recommender Systems: Application Paradigms

Item Length: 9.2in

Item Width: 6.1in

Author: Samee U. Khan

Publication Name: Big Data Recommender Systems : Application Paradigms

Format: Hardcover

Language: English

Publisher: Institution of Engineering & Technology

Publication Year: 2019

Series: Computing and Networks Ser.

Type: Textbook

Number of Pages: 520 Pages

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