Recommender Systems: Algorithms and their Applications / by Pushpendu Kar, Monideepa Roy, Sujoy Datta.

Format:

Book

Author/Creator:

Kar, Pushpendu.

Contributor:

Roy, Monideepa.

Datta, Sujoy.

Series:

Transactions on Computer Systems and Networks, 2730-7492

Language:

English

Subjects (All):

Database management.

Artificial intelligence.

Quantitative research.

Database Management System.

Artificial Intelligence.

Data Analysis and Big Data.

Local Subjects:

Database Management System.

Artificial Intelligence.

Data Analysis and Big Data.

Physical Description:

1 online resource (174 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

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.

Contents:

Introduction

Overview of Recommendtion system Algorithms

Collaborative Filtering

Matrix decomposition for Recommendtion

Clustering.

Notes:

Description based on publisher supplied metadata and other sources.

Other Format:

Print version: Kar, Pushpendu Recommender Systems: Algorithms and Their Applications

ISBN:

9789819705382

OCLC:

1439601749