A privacy preserving recommendation and fraud detection method based on graph convolution

A privacy preserving recommendation and fraud detection method based on graph convolution

As a typical deep learning technique, Graph Convolutional Networks (GCN) has been successfully applied to the recommendation systems. Aiming at the leakage risk of user privacy and the problem of fraudulent data in the recommendation systems, a Privacy Preserving Recommendation and Fraud Detection m...

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Bibliographic Details
Main Authors: Yunfei Tan, Shuyu Li, Zehua Li
Format: Article
Language:English
Published: AIMS Press 2023-12-01
Series:Electronic Research Archive
Subjects:
recommendation system
graph convolution
matrix completion
fraud detection
differential privacy
Online Access:https://www.aimspress.com/article/doi/10.3934/era.2023382?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/era.2023382?viewType=HTML

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