Addressing the cold start problem in privacy preserving content-based recommender systems using hypercube graphs.
Noa TuvalAlain HertzTsvi KuflikPublished in: CoRR (2023)
Keyphrases
- privacy preserving
- cold start problem
- recommender systems
- collaborative filtering
- privacy preserving data mining
- cold start
- privacy preservation
- matrix factorization
- data sparsity
- item based collaborative filtering
- vertically partitioned data
- personalized recommendation
- private information
- sensitive information
- user preferences
- image retrieval
- privacy sensitive
- secure multiparty computation
- data privacy
- privacy protection
- privacy concerns
- differential privacy
- information overload
- user interests
- user profiles
- scalar product
- relevance feedback
- recommendation algorithms
- machine learning
- cloud computing
- web pages