A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data.
Hao ZhouGeng YangYang XiangYunlu BaiWeiya WangPublished in: IEEE Trans. Big Data (2023)
Keyphrases
- lightweight
- big data
- matrix factorization
- differential privacy
- collaborative filtering
- recommender systems
- differentially private
- item recommendation
- privacy preserving
- latent factor models
- cloud computing
- privacy preservation
- data analysis
- data processing
- data management
- recommendation systems
- data sharing
- business intelligence
- user preferences
- knowledge discovery
- social media
- personal information
- missing data
- data warehousing
- database
- log data
- search logs
- data access
- object oriented
- information systems