--- 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 |