This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques. It highlights well-kno

This book presents the algorithms used to provide recommendations by exploiting matrix factorization and tensor decomposition techniques. It highlights well-kno

Recommender systems have shown to be successful in many domains where information overload exists. This success has motivated research on how to deploy recommen

Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining

This book discusses different aspects of group recommender systems, which are systems that help to identify recommendations for groups instead of single users.