Datasets:
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task_categories:
- tabular-classification
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## 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 | |