| --- |
| task_categories: |
| - tabular-classification |
| tags: |
| - Item Cross-Interaction |
| - Attention Mechanism |
| - Route Recommendation |
| - Explainability |
| --- |
| ## Towards Full Candidate Interaction: A Comprehensive Comparison Network for Better Route Recommendation |
|
|
| This is the dataset for our paper.<br> |
| 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,<br> dynamic features, and trajectory statistical features | N * 62 | The estimated time of arrival for the route<br>The total distance length of the route | |
| | Scene Features | Represent the contextual information of route recommendation |1 * 10 | Request time<br>User familiarity with the origin and destination | |
| | Comparison-Level Features | Represents the attributes of the non-overlapping segments between two routes | N * N * 27 | Comparison diff eta<br>Comparison diff distance | |
