Kar, Pushpendu. creator author. aut http://id.loc.gov/vocabulary/relators/aut Roy, Monideepa. author. aut http://id.loc.gov/vocabulary/relators/aut Datta, Sujoy. author. aut http://id.loc.gov/vocabulary/relators/aut SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

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electronic resource

access XIV, 165 p. 64 illus., 43 illus. in color. online resource. 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. Introduction -- Overview of Recommendtion system Algorithms -- Collaborative Filtering -- Matrix decomposition for Recommendtion -- Clustering. by Pushpendu Kar, Monideepa Roy, Sujoy Datta. Database management Artificial intelligence Quantitative research Database Management System Artificial Intelligence Data Analysis and Big Data QA76.9.D3 9789819705382 https://doi.org/10.1007/978-981-97-0538-2 https://doi.org/10.1007/978-981-97-0538-2 240611 20251030112308.0 978-981-97-0538-2