When Collaborative Filtering is not Collaborative: Unfairness of PCA for Recommendations.
David LiuJackie BaekTina Eliassi-RadPublished in: CoRR (2023)
Keyphrases
- collaborative filtering
- recommender systems
- making recommendations
- principal component analysis
- recommendation quality
- recommendation systems
- collaborative filtering algorithms
- user preferences
- personalized recommendation
- cold start
- content based filtering
- principal components analysis
- cold start problem
- online dating
- matrix factorization
- product recommendation
- demographic information
- recommendation algorithms
- collaborative learning
- hybrid recommendation
- movie recommendation
- principal components
- user ratings
- feature space
- collaborative filtering recommendation
- dimensionality reduction
- data sparsity
- collaborative recommender systems
- latent factor models
- item recommendation
- feature extraction
- information overload
- information filtering
- face recognition
- active user
- face images
- principle component analysis
- independent component analysis
- collaborative recommendation
- high dimensional
- covariance matrix
- user profiles
- negative matrix factorization
- appearance based object recognition
- low dimensional
- singular value decomposition
- user similarity
- dimension reduction
- user feedback
- kernel pca
- transfer learning
- linear discriminant analysis
- pearson correlation coefficient
- probabilistic matrix factorization
- website