FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework. Daily schedule recommendation is an intelligent approach to recommend multiple suitable activity locations and activity sequences for users based on their needs in a day.
Nov 24, 2021 � In this paper, we address the problem of daily schedule recommendation utilizing the deep reinforcement learning model in a federated learning framework (�...
In this paper, we address the problem of daily schedule recommendation utilizing the deep reinforcement learning model in a federated learning framework (FedDSR)�...
Apr 1, 2023 � Daily schedule recommendation is an intelligent approach to recommend multiple suitable activity locations and activity sequences for users�...
People also ask
What is federated deep reinforcement learning?
Do recommender systems use reinforcement learning?
Oct 17, 2023 � Applied Soft Computing. FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework, Nov. 2021, TKDE. Efficient�...
A collection of research papers on Federated Recommender Systems.
github.com › XuanangD › FederatedRS
FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework, IEEE Transactions on Knowledge and Data Engineering. FedPOIRec�...
FedDSR: Daily schedule recommendation in a federated deep reinforcement learning framework. W Huang, J Liu, T Li, T Huang, S Ji, J Wan. IEEE Transactions on�...
This paper addresses the problem of daily schedule recommendation utilizing the deep reinforcement learning model in a federated learning framework (FedDSR)�...
Wan, “Feddsr: Daily schedule recommendation in a federated deep reinforcement learning framework,” IEEE Trans. Knowl. Data Eng., pp. 1–1, November 2021.
Sep 7, 2024 � FedDSR: Daily Schedule Recommendation in a Federated Deep Reinforcement Learning Framework. Article. Nov 2021. Wei Huang � Jia�...