Federated cross-view e-commerce recommendation based on feature rescaling
Abstract As big data technologies continue to evolve, recommendation systems have found broad application in domains such as online retail and social networking platforms. However, centralized recommendation systems raise numerous data privacy concerns. Federated learning addresses these concerns by...
Saved in:
| Main Authors: | Ruiheng Li, Yuhang Shu, Yue Cao, Yiming Luo, Qiankun Zuo, Xuan Wu, Jiaojiao Yu, Wenxin Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2024-12-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-024-81278-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Survey on federated recommendation systems
by: Zhitao ZHU, et al.
Published: (2022-07-01) -
Making measuring family dinner quality more meaningful: Rescaling the ‘Family Dinner Index’ for ease of assessment and interpretation
by: Margie R. Skeer, et al.
Published: (2025-06-01) -
A Novel Prescribed-Time Convergence Acceleration Algorithm with Time Rescaling
by: Xuehui Mei, et al.
Published: (2025-01-01) -
Stability of Weak Rescaled Pure Greedy Algorithms
by: Wan Li, et al.
Published: (2025-06-01) -
Sentimental analysis based federated learning privacy detection in fake web recommendations using blockchain model
by: Jitendra Kumar Samriya, et al.
Published: (2025-04-01)