Research map / Probabilistic and scientific modeling / Molecules and proteins
Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| use implicit engagement matrices instead of Boolean membership (ablation) | static matrix factorization · DeviantArt group recommendation | Recall@K | Helped |
| add non-negativity and l1 regularization over Hu's method (ablation) | Static Unbiased · DeviantArt production data | Recall@K | Helped |
| add activity-level bias terms (ablation) | static model · DeviantArt group recommendation | Recall@K | Helped |
| add l1 sparsity on top of l2 with biases (ablation) | Static Biased · DeviantArt consumption data | Recall@K | No clear effect |
| add l1 sparsity on top of l2 with biases (ablation) | Static Biased · DeviantArt production data | Recall@K | Helped |
| model time-varying factors with AR/VAR over all past intervals instead of static (ablation) | Temporal Biased · DeviantArt group recommendation | Recall@K and Precision@K | Helped |
| use all past time slices instead of only the last slice (TMF) | temporal methods · DeviantArt group recommendation | Recall@K | Helped |
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