Big Data Recommender Systems
Recent trends and advances
Institution of Engineering and Technology (Publisher)
Book
Hardback
600 pages
978-1-78561-501-6 (ISBN)
Description
This timely volume 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. The authors give special attention to key topics such as data filtering and cleaning techniques for recommendations, novelty and diversity, privacy issues, security threats and their mitigation, trust, cold start, sparsity, scalability, application domains, and recommender system evaluations.
More details
Series
Language
English
Place of publication
Stevenage
United Kingdom
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 234 mm
Width: 156 mm
ISBN-13
978-1-78561-501-6 (9781785615016)
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Schweitzer Classification
Persons
Editor
COMSATS Institute of Information Technology, Pakistan
North Dakota State University, USA
The University of Sydney, Australia