Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization.
Chaochao ChenZiqi LiuPeilin ZhaoJun ZhouXiaolong LiPublished in: AAAI (2018)
Keyphrases
- privacy preserving
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- privacy preserving data mining
- latent factor models
- privacy preservation
- vertically partitioned data
- low rank
- nonnegative matrix factorization
- multi party
- negative matrix factorization
- private information
- user preferences
- sensitive information
- recommendation systems
- tensor factorization
- missing data
- factorization methods
- horizontally partitioned data
- privacy sensitive
- data privacy
- privacy concerns
- factor analysis
- privacy preserving association rule mining
- scalar product
- differential privacy
- sensitive data
- tag recommendation
- implicit feedback
- privacy issues
- privacy protection
- secure multiparty computation
- data mining
- data sets