Systems and methods for calibrated location prediction
US11134359B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 2019 |
| Grant date | Sep 28, 2021 |
| Priority date | — |
| Expiry date | Mar 8, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system includes a machine learning module configured to train a location prediction model using features constructed from mobile device data with time stamps in a training time period, and labels extracted from mobile device data with time stamps in a training time frame. The system further includes a prediction module configured apply the prediction model to a feature set constructed using mobile device data associated with a mobile device with time stamps in a prediction time period to obtain a prediction result corresponding to the mobile device. The system further includes a calibration module configured to obtain a calibration model corresponding to an information campaign, and a calibrated prediction module configured to apply the calibration model to the prediction result to obtain a calibrated probability for the mobile device to have at least one location event at any of one or more locations associated with the information campaign during a prediction time frame.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.