TY  - BOOK
AU  - Kar,Pushpendu
AU  - Roy,Monideepa
AU  - Datta,Sujoy
ED  - SpringerLink (Online service)
TI  - Recommender Systems: Algorithms and their Applications
T2  - Transactions on Computer Systems and Networks,
SN  - 9789819705382
AV  - QA76.9.D3 
U1  - 005.7 23
PY  - 2024///
CY  - Singapore
PB  - Springer Nature Singapore, Imprint: Springer
KW  - Database management
KW  - Artificial intelligence
KW  - Quantitative research
KW  - Database Management System
KW  - Artificial Intelligence
KW  - Data Analysis and Big Data
N1  - Introduction -- Overview of Recommendtion system Algorithms -- Collaborative Filtering -- Matrix decomposition for Recommendtion -- Clustering
N2  - 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
UR  - http://libcon.rec.uabc.mx:2048/login?url=https://doi.org/10.1007/978-981-97-0538-2
ER  -