The users' perspective on the privacy-utility trade-offs in health recommender systems.
André Calero ValdezMartina ZieflePublished in: Int. J. Hum. Comput. Stud. (2019)
Keyphrases
- recommender systems
- collaborative filtering
- trade off
- user profiles
- user model
- cold start
- cold start problem
- trust aware
- user modeling
- differential privacy
- matrix factorization
- recommendation systems
- user profiling
- product recommendation
- active user
- information overload
- personal information
- user feedback
- user preferences
- online dating
- personal data
- user interface
- recommendation quality
- personal preferences
- item based collaborative filtering
- personalized recommendation
- recommendation algorithms
- privacy preserving data mining
- user generated content
- user interaction
- data sparsity
- privacy preservation
- data privacy
- user privacy
- statistical databases
- rating prediction
- security and privacy issues
- trust propagation
- information loss