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  ## SCASRec: A Self-Correcting and Auto-Stopping Model for Generative List Recommendation
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  This is an example of our paper dataset, a more comprehensive dataset will be added later.<br>
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  The following table contains the feature dimensions and key features of our dataset.
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  | :---- | :---- | :----: | :--- |
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  | 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 |
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  | Scene Features | Represent the contextual information of route recommendation |1 * 10 | Request time<br>User familiarity with the origin and destination |
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- | User Historical Seq | A series of route selection records arranged in chronological order |T * 31 | Selected route features<br>Unselected route features |
 
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+ language:
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  ## SCASRec: A Self-Correcting and Auto-Stopping Model for Generative List Recommendation
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  This is an example of our paper dataset, a more comprehensive dataset will be added later.<br>
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  The following table contains the feature dimensions and key features of our dataset.
 
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  | :---- | :---- | :----: | :--- |
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  | 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 |
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  | Scene Features | Represent the contextual information of route recommendation |1 * 10 | Request time<br>User familiarity with the origin and destination |
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+ | User Historical Seq | A series of route selection records arranged in chronological order |T * 31 | Selected route features<br>Unselected route features |