Abstract: Recommender systems aim to accurately predict user preferences in order to provide potential items of interests. However, the highly skewed long-tail item distribution leads the models to ...

Abstract: This paper proposes DGAEPPO, a graph autoencoder-integrated proximal policy optimization algorithm for dependent task offloading in edge computing. We model service-constrained tasks via ...