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task_categories:
  - tabular-classification

Towards Full Candidate Interaction: A Comprehensive Comparison Network for Better Route 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
Comparison-Level Features Represents the attributes of the non-overlapping segments between two routes N * N * 27 Comparison diff eta
Comparison diff distance