MFPCDR: A Meta-Learning-Based Model for Federated Personalized Cross-Domain Recommendation

MFPCDR: A Meta-Learning-Based Model for Federated Personalized Cross-Domain Recommendation

Cross-domain recommendation systems frequently require the use of rich source domain information to improve recommendations in the target domain, thereby resolving the data sparsity and cold-start problems, whereas the majority of existing approaches frequently require the centralized storage of use...

Full description

Bibliographic Details
Main Authors: Yicheng Di, Yuan Liu
Format: Article
Language:English
Published: MDPI AG 2023-03-01
Series:Applied Sciences
Subjects:
meta-learning
federated learning
cross-domain recommendation
attention
Online Access:https://www.mdpi.com/2076-3417/13/7/4407

Internet

https://www.mdpi.com/2076-3417/13/7/4407

Similar Items