Feature selection by using privacy-preserving of recommendation systems based on collaborative filtering and mutual trust in social networks.
Somayeh Moghaddam Zadeh KashaniJavad HamidzadehPublished in: Soft Comput. (2020)
Keyphrases
- privacy preserving
- recommendation systems
- collaborative filtering
- user similarity
- feature selection
- social networks
- privacy concerns
- link prediction
- recommender systems
- privacy preserving data mining
- user preferences
- privacy preservation
- matrix factorization
- vertically partitioned data
- collaborative filtering recommendation algorithm
- data privacy
- recommendation quality
- data sparsity
- sensitive information
- private information
- privacy sensitive
- multi party
- horizontally partitioned data
- trust model
- privacy preserving association rule mining
- social networking
- personalized recommendation
- feature set
- private data
- feature extraction
- sensitive data
- learning to rank
- collaborative filtering algorithms
- web search
- search engine
- collaborative filtering recommendation
- support vector
- user profiles
- network structure
- machine learning