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Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add time and distance gates to LSTM (STGN) | LSTM · Gowalla | Acc@1: 0.0503 -> 0.0835 | Helped |
| couple input and forget gates (STGCN vs STGN) (ablation) | STGN · CA | Acc@1: 0.0716 -> 0.0801 | Helped |
| STGN vs HST-LSTM | next POI recommendation · Brightkite | MAP: 0.5476 -> 0.5266 | Hurt |
| add distance gates (vs time gates only) (ablation) | STGCN · Gowalla, CA | Acc@K | Helped |
| add time gates (vs distance gates only) (ablation) | STGCN · Gowalla, CA | Acc@K | Helped |
| add long-term interest gates T2/D2 (ablation) | STGCN · Gowalla, CA | Acc@K | Helped |
| add short-term interest gates T1/D1 (ablation) | STGCN · Gowalla, CA | Acc@K | Helped |
| increase cell size (ablation) | STGN/STGCN · Gowalla | Acc@10 | Helped |
Closest papers by meaning
- GeoMamba: Towards Multi-granular POI Recommendation with Geographical State Space Model (AAAI 2025 · similarity 0.90)
- Integrating Personalized Spatio-Temporal Clustering for Next POI Recommendation (AAAI 2025 · similarity 0.88)
- Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation (AAAI 2024 · similarity 0.85)
- LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation (AAAI 2025 · similarity 0.84)
- Enhancing Long-and Short-Term Representations for Next POI Recommendations via Frequency and Hierarchical Contrastive Learning (AAAI 2025 · similarity 0.84)
- Spatial-Temporal Knowledge Distillation for Takeaway Recommendation (AAAI 2025 · similarity 0.83)
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