Research Article
Augmented Intention Model for Next-Location Prediction from Graphical Trajectory Context
Table 2
Accuracy of top k results with various prediction methods.
| Dataset | Urban travel | Foursquare NY | Foursquare TKY |
| Methods | acc@1 | acc@5 | acc@10 | acc@20 | acc@1 | acc@5 | acc@10 | acc@20 | acc@1 | acc@5 | acc@10 | acc@20 | Statistics | 22.69 | 36.71 | 39.42 | 41.20 | 9.22 | 17.91 | 21.43 | 25.22 | 12.06 | 21.46 | 24.72 | 28.62 | Markov chain | 15.42 | 36.52 | 44.32 | 51.48 | 9.78 | 22.24 | 27.08 | 29.10 | 11.76 | 23.68 | 29.61 | 34.53 | DeepMove (max, dot) | 24.94 | 43.79 | 52.06 | 59.60 | 9.35 | 23.62 | 29.76 | 34.57 | 10.30 | 24.84 | 32.21 | 38.76 | DeepMove (mean, dot) | 23.73 | 42.55 | 51.13 | 56.71 | 9.87 | 23.03 | 28.86 | 31.32 | 9.37 | 22.66 | 30.18 | 34.35 | DeepMove (max, concat) | 24.09 | 43.17 | 51.76 | 59.88 | 10.16 | 21.98 | 26.99 | 30.96 | 10.44 | 24.55 | 31.53 | 36.74 | AI-RNN (RS) | 27.13 | 51.80 | 62.43 | 71.18 | 12.04 | 23.78 | 27.78 | 32.08 | 11.36 | 23.36 | 28.46 | 33.02 | AI-RNN (DO) | 27.65 | 52.42 | 62.87 | 71.95 | 10.23 | 22.19 | 26.45 | 31.72 | 11.07 | 22.87 | 27.08 | 32.13 | AI-RNN (MP) | 27.14 | 51.89 | 62.19 | 70.90 | 12.67 | 23.98 | 28.02 | 35.36 | 12.24 | 25.56 | 32.15 | 35.89 |
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