Datasets:
metadata
task_categories:
- tabular-classification
SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List Recommendation
This is the dataset for our paper.
The following table contains the feature dimensions and key features of our dataset.
| Feature Type | Interpretation | Shape | Some Key Features |
|---|---|---|---|
| Route Features | Used to describe each route, including static features, dynamic features, and trajectory statistical features |
N * 62 | The estimated time of arrival for the route The total distance length of the route |
| Scene Features | Represent the contextual information of route recommendation | 1 * 10 | Request time User familiarity with the origin and destination |
| Long Features | A series of route selection records arranged in chronological order | T * 31 | Selected route features Unselected route features |