Research map / Probabilistic and scientific modeling / Molecules and proteins
Inferring a Personalized Next Point-of-Interest Recommendation Model with Latent Behavior Patterns
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add latent behavior patterns and spatial preference over FPMC-LR | tensor BPR next-POI model · Foursquare LA | P@10: 0.128 -> 0.170 | Helped |
| add latent behavior patterns and spatial preference over FPMC-LR | tensor BPR next-POI model · Gowalla | P@10: 0.198 -> 0.293 | Helped |
| increase latent patterns from 3 to 4 (ablation) | proposed model · Gowalla | P@10: 0.184 -> 0.293 | Helped |
| increase latent patterns from 4 to 5 (ablation) | proposed model · Gowalla | P@10: +1.4% | No clear effect |
| add more contextual features (time, week, category) (ablation) | proposed model · Foursquare and Gowalla | precision | Helped |
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