Recommender Systems: Algorithms and Applications: Kumar, P. Pavan, Vairachilai, S., Potluri, Sirisha, Mohanty, Sachi Nandan: 9780367631857: Amazon.com: Books

Various efficient and robust product recommender systems using machine learning algorithms are helpful in filtering and exploring unseen data by users for better prediction and extrapolation of decisions. These are providing a wider range of solutions to such challenges as imbalanced data set problems, cold-start problems, and long tail problems. This book also looks at fundamental ontological positions that form the foundations of recommender systems and explain why certain recommendations are predicted over others.