Sampling from convex sets with a cold start using multiscale decompositions.
Hariharan NarayananAmit RajaramanPiyush SrivastavaPublished in: CoRR (2022)
Keyphrases
- convex sets
- cold start
- multiscale
- recommender systems
- cold start problem
- finite number
- data sparsity
- collaborative filtering
- implicit feedback
- convex optimization
- convex hull
- image processing
- user preferences
- image representation
- image segmentation
- matrix factorization
- tag recommendation
- wavelet transform
- higher dimensional
- wavelet coefficients
- personalized recommendation
- natural images
- user interests
- user feedback
- training data
- data sparseness
- filter bank
- decision trees