𝔖 Scriptorium
✦   LIBER   ✦
πŸ“

Recommender Systems: Algorithms and their Applications (Transactions on Computer Systems and Networks)

✍ Scribed by Pushpendu Kar, Monideepa Roy, Sujoy Datta

Publisher
Springer
Year
2024
Tongue
English
Leaves
179
Edition
2024
Category
Library
⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis

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.

πŸ“œ SIMILAR VOLUMES

Recommender Systems: Algorithms and thei
πŸ“ Recommender Systems: Algorithms and their Applications (Transactions on Computer Systems and Networks)
✍ Pushpendu Kar, Monideepa Roy, Sujoy Datta πŸ“‚ Library πŸ“… 2024 πŸ› Springer 🌐 English

<p><span>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 rec

Data Science: Theory, Algorithms, and Ap
πŸ“ Data Science: Theory, Algorithms, and Applications (Transactions on Computer Systems and Networks)
✍ Gyanendra K. Verma (editor), Badal Soni (editor), Salah Bourennane (editor), Ale πŸ“‚ Library πŸ“… 2021 πŸ› Springer 🌐 English

<p>This book targets an audience with a basic understanding of deep learning, its architectures, and its application in the multimedia domain. Background in machine learning is helpful in exploring various aspects of deep learning. Deep learning models have a major impact on multimedia research and

Recommender Systems: Algorithms and Appl
πŸ“ Recommender Systems: Algorithms and Applications
✍ P. Pavan Kumar; S. Vairachilai; Sirisha Potluri; Sachi Nandan Mohanty πŸ“‚ Library πŸ“… 2021 πŸ› CRC Press 🌐 English

<p>Recommender systems use information filtering to predict user preferences. They are becoming a vital part of e-business and are used in a wide variety of industries, ranging from entertainment and social networking to information technology, tourism, education, agriculture, healthcare, manufactur

Big Data Recommender Systems: Applicatio
πŸ“ Big Data Recommender Systems: Application Paradigms (Computing and Networks)
✍ Osman Khalid (editor), Samee U. Khan (editor), Albert Y. Zomaya (editor) πŸ“‚ Library πŸ“… 2019 πŸ› The Institution of Engineering and Technology 🌐 English

<p>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 vol