用图结构建模旅行日记中的地理层级与时间顺序，提升轨迹预测精度。
Graph-Structured Trajectory Extraction from Travelogues
- 提出融合地理层级与时间顺序的图结构表示方法
- 能准确预测访问地点及顺序，但层级关系仍难预测
- 构建了首个图结构轨迹提取基准数据集，适合轨迹分析研究者
以往基于序列的轨迹提取方法在表示人类移动轨迹时存在不足，尤其当一个地点在地理上包含另一个地点时，两者在序列中难以对齐。本文提出一种图结构表示方法，同时保留地理层级信息与访问地点的时间顺序，并构建了一个用于图结构轨迹提取的基准数据集。基于基线模型的实验表明，能够较准确地预测出访问过的地点及其顺序，但预测地理层级关系仍具挑战性。
原文摘要 · Abstract (English)
Previous studies on sequence-based extraction of human movement trajectories have an issue of inadequate trajectory representation. Specifically, a pair of locations may not be lined up in a sequence especially when one location includes the other geographically. In this study, we propose a graph representation that retains information on the geographic hierarchy as well as the temporal order of visited locations, and have constructed a benchmark dataset for graph-structured trajectory extraction. The experiments with our baselines have demonstrated that it is possible to accurately predict visited locations and the order among them, but it remains a challenge to predict the hierarchical relations.
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