A Matrix Factorization Recommendation System-Based Local Differential Privacy for Protecting Users' Sensitive Data.
Xiaoyao ZhengManping GuanXianmin JiaLiangmin GuoYonglong LuoPublished in: IEEE Trans. Comput. Soc. Syst. (2023)
Keyphrases
- matrix factorization
- collaborative filtering
- privacy preservation
- sensitive data
- differential privacy
- recommender systems
- privacy preserving
- data privacy
- recommendation systems
- anonymized data
- privacy guarantees
- data sharing
- personal data
- sensitive information
- privacy preserving data mining
- privacy protection
- data storage
- user preferences
- smart card
- database
- information security
- data protection
- privacy concerns
- third party
- data mining
- missing data
- kernel function
- social media
- feature selection