Privacy Preserving Point-of-interest Recommendation Using Decentralized Matrix Factorization.
Chaochao ChenZiqi LiuPeilin ZhaoJun ZhouXiaolong LiPublished in: CoRR (2020)
Keyphrases
- privacy preserving
- matrix factorization
- collaborative filtering
- recommender systems
- item recommendation
- data sparsity
- latent factor models
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- low rank
- nonnegative matrix factorization
- negative matrix factorization
- factorization methods
- private data
- user preferences
- multi party
- horizontally partitioned data
- tensor factorization
- user ratings
- data privacy
- recommendation systems
- sensitive information
- privacy protection
- private information
- implicit feedback
- factor analysis
- privacy concerns
- differential privacy
- latent factors
- preserving privacy
- missing data
- scalar product
- privacy issues
- secure multiparty computation
- privacy sensitive
- tag recommendation
- sensitive data
- peer to peer