PrivItem2Vec: A privacy-preserving algorithm for top-N recommendation
To significantly protect the user’s privacy and prevent the user’s preference disclosure from leading to malicious entrapment, we present a combination of the recommendation algorithm and the privacy protection mechanism. In this article, we present a privacy recommendation algorithm, PrivItem2Vec,...
Saved in:
Main Authors: | Zhengqiang Ge, Xinyu Liu, Qiang Li, Yu Li, Dong Guo |
---|---|
Format: | article |
Language: | EN |
Published: |
SAGE Publishing
2021
|
Subjects: | |
Online Access: | https://doaj.org/article/c42b2da94e284e618c356d3620fd3f39 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Privacy-preserving inpainting for outsourced image
by: Fang Cao, et al.
Published: (2021) -
Privacy-preserving FairSwap: Fairness and privacy interplay
by: Avizheh Sepideh, et al.
Published: (2022) -
A cloud-based framework for verifiable privacy-preserving spectrum auction
by: Ruinian Li, et al.
Published: (2022) -
Privacy preserving divisible double auction with a hybridized TEE-blockchain system
by: Bingyu Liu, et al.
Published: (2021) -
Privacy Preserved Cyber-Physical Searching for Information-Centric Intelligent Agriculture
by: Li Ding, et al.
Published: (2021)