SCASRec_Test / README.md
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SCASRec: A Self-Correcting and Auto-Stopping Model for Generative List Recommendation

This is an example of our paper dataset, a more comprehensive dataset will be added later.
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
User Historical Seq A series of route selection records arranged in chronological order T * 31 Selected route features
Unselected route features