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This article discusses the use of artificial intelligence methods, computational intelligence methods, evolutionary methods, and data science in recommender systems to improve prediction accuracy and solve missing data problems. It reviews state-of-the-art methods and trends in the use of recommender systems and research using machine learning algorithms. Original research articles and reviews are welcome for this Special Issue.