Abstract: Objectives: This paper proposes a novel stability metric for decision trees that does not rely on the elusive notion of tree similarity. Existing stability metrics have been constructed in a ...

Abstract: With the advancement of deep learning, deep recommendation models have achieved remarkable improvements in recommendation accuracy. However, due to the large number of candidate items in ...