Research map / Learning theory and algorithms / Matrix and tensor methods
Blind Regression: Nonparametric Regression for Latent Variable Models via Collaborative Filtering
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Gaussian kernel weighted user-item collaborative filtering (blind regression estimator) vs. classic user-user/item-item CF | Gaussian kernel blind regression estimator · MovieLens 1M and Netflix (2000x2000 subsampled matrices, 10%-70% withheld) | RMSE | Helped |
| Compare to softImpute matrix factorization | Gaussian kernel blind regression estimator · MovieLens 1M | RMSE | Mixed |
| Compare to softImpute matrix factorization | Gaussian kernel blind regression estimator · Netflix | RMSE | Hurt |
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