Explanations for artificial intelligence based recommendations

Abstract

Techniques regarding explanations for artificial intelligence recommendations are provided. For example, one or more embodiments described herein can comprise a system, which can comprise a memory that can store computer executable components. The system can also comprise a processor, operably coupled to the memory, and that can execute the computer executable components stored in the memory. The computer executable components can include: a combination component that receives a first training dataset comprising first feature vectors, first classes and first explanations, and combines the first classes and the first explanations to produce first augmented labels and a second training dataset that comprises the first feature vectors and the first augmented labels; a classifier, trained on the second training dataset, that analyses second feature vectors and generates second augmented labels; and a decomposing component that decomposes the second augmented labels, using the classifier, to generate second classes and second explanations.