Datasets:
|
Download README.md from GD-ML/SCASRec: direct link, hf CLI and curl.
- Browser
- Download file 1.08 kB
-
https://huggingface.co/datasets/GD-ML/SCASRec/resolve/main/README.md
- Command line
-
hf download hf://datasets/GD-ML/SCASRec/README.md
-
curl -L -o README.md https://huggingface.co/datasets/GD-ML/SCASRec/resolve/main/README.md
1.08 kB
| task_categories: | |
| - tabular-classification | |
| tags: | |
| - recommendation | |
| - route | |
| - generative list recommendation | |
| ## SCASRec: A Self-Correcting and Auto-Stopping Model for Generative Route List 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 | | |
| | Long Features | A series of route selection records arranged in chronological order |T * 31 | Selected route features<br>Unselected route features | |