Recommender Systems: Algorithms and their Applications (Record no. 88290)

000 -LEADER
fixed length control field 02932nam a22005655i 4500
001 - CONTROL NUMBER
control field 978-981-97-0538-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730172418.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240611s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789819705382
-- 978-981-97-0538-2
082 04 - CLASSIFICATION NUMBER
Call Number 005.7
100 1# - AUTHOR NAME
Author Kar, Pushpendu.
245 10 - TITLE STATEMENT
Title Recommender Systems: Algorithms and their Applications
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XIV, 165 p. 64 illus., 43 illus. in color.
490 1# - SERIES STATEMENT
Series statement Transactions on Computer Systems and Networks,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction -- Overview of Recommendtion system Algorithms -- Collaborative Filtering -- Matrix decomposition for Recommendtion -- Clustering.
520 ## - SUMMARY, ETC.
Summary, etc The book includes a thorough examination of the many types of algorithms for recommender systems, as well as a comparative analysis of them. It addresses the problem of dealing with the large amounts of data generated by the recommender system. The book also includes two case studies on recommender system applications in healthcare monitoring and military surveillance. It demonstrates how to create attack-resistant and trust-centric recommender systems for sensitive data applications. This book provides a solid foundation for designing recommender systems for use in healthcare and defense.
700 1# - AUTHOR 2
Author 2 Roy, Monideepa.
700 1# - AUTHOR 2
Author 2 Datta, Sujoy.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-97-0538-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2024.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
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-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Database management.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Quantitative research.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Database Management System.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Analysis and Big Data.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2730-7492
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-- ZDB-2-SCS
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No items available.