Research map / Probabilistic and scientific modeling / Molecules and proteins
Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| jointly model item observability, user selection, and ratings | TPMF · Coat | MAE: 0.697 -> 0.67 | Helped |
| jointly model item observability, user selection, and ratings | TPMF · Yahoo | MAE: 0.907 -> 0.771 | Helped |
| jointly model item observability, user selection, and ratings | TPMF · ML1M | MAE: 0.684 -> 0.662 | Helped |
| jointly model item observability, user selection, and ratings | TPMF · MTweet | MAE: 0.521 -> 0.493 | Helped |
| add factor correlation between ratings and selection (ablation) | TPMF · Coat | MAE: 0.679 -> 0.67 | Helped |
| add factor correlation between ratings and selection (ablation) | TPMF · Yahoo | MAE: 0.821 -> 0.771 | Helped |
| add factor correlation between ratings and selection (ablation) | TPMF · ML1M | MAE: 0.671 -> 0.662 | Hurt |
| add factor correlation between ratings and selection (ablation) | TPMF · MTweet | MAE: 0.492 -> 0.493 | Hurt |
| add item observability modeling instead of treating every item as observed (ablation) | TPMF · Coat | MAE: 0.697 -> 0.67 | Helped |
| add item observability modeling instead of treating every item as observed (ablation) | TPMF · Yahoo | MAE: 0.907 -> 0.771 | Helped |
| add item observability modeling instead of treating every item as observed (ablation) | TPMF · ML1M | MAE: 0.684 -> 0.662 | Helped |
| add item observability modeling instead of treating every item as observed (ablation) | TPMF · MTweet | MAE: 0.521 -> 0.493 | Helped |
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