Recommender Systems: Algorithms and their Applications (Record no. 88290)
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000 -LEADER | |
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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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-- | txt |
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337 ## - | |
-- | computer |
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-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | 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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