Big Data Recommender Systems ; Vol.2 : Application Paradigms
- المؤلف
- Osman Khalid, Samee Ullah Khan, Albert Y. Zomaya
- سنة النشر
- 2019
- الناشر
- Institution of Engineering and Technology
- لغة الملف
- انكليزي
- نوع الملف
- Book
- تصنيف الكتاب
- Computer Science
- تحميل الكتاب قراءة الكتاب
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
الكلمات المفتاحية: Computer science / Big Data security / Internet of Things (IoT) / Data security / Knowledge discovery techniques /
