Big Data Recommender Systems ; Vol.2 : Application Paradigms
- Author
- Osman Khalid, Samee Ullah Khan, Albert Y. Zomaya
- Publication Year
- 2019
- Publisher
- Institution of Engineering and Technology
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Computer Science
- Download Book Read book
Combines experimental and theoretical research on big data recommender systems to help computer scientists develop new concepts and methodologies for complex applications. It includes original scientific contributions in the form of theoretical foundations, comparative analysis, surveys, case studies, techniques and tools. 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 volumes of data, which has introduced many new challenges. recommender systems. Volume 2 covers a broad range of application paradigms for recommender systems over 22 chapters
Keywords: Computer science / Big Data security / Internet of Things (IoT) / Data security / Knowledge discovery techniques /
