Table 1 Trajectory segmentation research.
From: Personalized tourism recommendation model based on temporal multilayer sequential neural network
Task | Performance | Citation |
|---|---|---|
Liang et al. addressed the issue of prioritizing shortest distance over tourism experience in tourism route planning29 | Improved training stability by 20% and recommendation accuracy by 21% | |
Guo et al. provided a review of attention mechanisms, among others30 | Found that fixed segmentation techniques are commonly used in computational tasks and perform better than traditional segmentation methods | |
Zhao GS et al. analyzed human travel patterns through static trajectory segmentation31 | Observed that the area coverage of points of interest initially increases and then decreases as trajectory length increases |
