Translating Human Mobility Forecasting through Natural Language Generation
Translating Human Mobility Forecasting through Natural Language Generation
Existing human mobility forecasting models follow the standard design of the time-series prediction model which takes a series of numerical values as input to generate a numerical value as a prediction. Although treating this as a regression problem seems straightforward, incorporating various contextual information such as the semantic category information …