A Privacy-Protecting Architecture for Collaborative Filtering via Forgery and Suppression of Ratings.
Javier Parra-ArnauDavid Rebollo-MonederoJordi FornéPublished in: DPM/SETOP (2011)
Keyphrases
- collaborative filtering
- privacy preservation
- recommender systems
- matrix factorization
- collaborative filtering algorithms
- recommendation systems
- management system
- user preferences
- user ratings
- making recommendations
- real time
- data sparsity
- transfer learning
- privacy issues
- protection mechanisms
- privacy preserving
- cold start problem
- personalized recommendation
- cold start
- private information
- netflix prize
- statistical databases
- collaborative filtering recommendation algorithm
- deal with information overload
- security issues
- personal information
- digital images
- latent factor models
- privacy preserving data mining
- collaborative filtering recommender systems
- data protection
- recommendation algorithms
- user interests
- software architecture
- web services