Enhancing recommendation acceptance: Resolving the personalization-privacy paradox in recommender systems: A privacy calculus perspective.
Yedi WangJiaji ZhuRenhuai LiuYushi JiangPublished in: Int. J. Inf. Manag. (2024)
Keyphrases
- recommender systems
- collaborative filtering
- privacy preserving
- user modeling
- user preferences
- user profiling
- user model
- personal information
- personalized recommendation
- private information
- cold start problem
- user profiles
- privacy preserving data mining
- security issues
- privacy preservation
- data mining
- news recommendation
- sensitive information
- recommendation systems
- information filtering
- matrix factorization
- statistical databases
- privacy concerns
- movie recommendation
- information overload
- data privacy
- product recommendation
- cold start
- user feedback
- privacy issues
- sentiment analysis
- web personalization
- privacy policies
- differential privacy
- personal data
- recommendation algorithms
- sensitive data
- privacy protection