Sampling from Convex Sets with a Cold Start using Multiscale Decompositions.
Hariharan NarayananAmit RajaramanPiyush SrivastavaPublished in: STOC (2023)
Keyphrases
- convex sets
- cold start
- multiscale
- recommender systems
- cold start problem
- finite number
- collaborative filtering
- convex hull
- convex optimization
- data sparsity
- user preferences
- implicit feedback
- image segmentation
- personalized recommendation
- image processing
- tag recommendation
- wavelet transform
- higher dimensional
- natural images
- matrix factorization
- machine learning
- prior knowledge
- user ratings
- filter bank
- image retrieval
- recommendation algorithms
- probability density function
- eye tracking
- wavelet coefficients