Machine Learning Paradigms : Applications in Recommender Systems

"Machine Learning Paradigms: Applications in Recommender Systems" is an advanced textbook published by Springer International Publishing in 2015. Covering topics in Computer Science, Technology, and Engineering, this hardcover book explores various machine learning paradigms and their applications in recommender systems. Written in English by authors Aristomenis S. Lampropoulos and George A. Tsihrintzis, this book delves into subjects such as engineering, artificial intelligence, computer vision, and pattern recognition, making it a valuable resource for students and professionals in the field. With 125 pages and dimensions of 9.3 inches in length and 6.1 inches in width, this textbook offers a comprehensive look at machine learning paradigms in the context of recommender systems.