Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems.
Derek LilienthalPaul MelloMagdalini EirinakiStas TiomkinPublished in: CoRR (2023)
Keyphrases
- recommender systems
- multiresolution
- privacy sensitive
- privacy preserving
- medical data
- collaborative filtering
- wavelet transform
- diffusion process
- user profiles
- matrix factorization
- hierarchical representation
- user profiling
- anisotropic diffusion
- user preferences
- diffusion processes
- trust aware
- information filtering
- image fusion
- recommendation quality
- cold start problem
- nonlinear diffusion
- medical images
- subband
- personalized recommendation
- information overload
- user model
- wavelet domain
- wavelet coefficients
- user modeling
- data sparsity
- diffusion model
- neural network
- coarse to fine
- coarse to fine strategy
- image processing
- data mining
- implicit feedback
- recommendation systems
- multiscale
- personal preferences