Privacy Preserving Collaborative Filtering via the Johnson-Lindenstrauss Transform.
Mengmeng YangTianqing ZhuLichuan MaYang XiangWanlei ZhouPublished in: TrustCom/BigDataSE/ICESS (2017)
Keyphrases
- privacy preserving
- collaborative filtering
- johnson lindenstrauss
- privacy preserving data mining
- recommender systems
- privacy preservation
- vertically partitioned data
- multi party
- privacy concerns
- private information
- preserving privacy
- high dimensional
- privacy sensitive
- private data
- data privacy
- record linkage
- horizontally partitioned data
- data transformation
- privacy protection
- sensitive information
- secure multiparty computation
- privacy preserving association rule mining
- sensitive data
- user preferences
- privacy issues
- user privacy
- data perturbation
- horizontally partitioned
- naive bayesian classification
- personal data
- partitioned data
- data sets
- data mining