Dynamically generating and updating multipliers for a transportation matching system using machine learning
US11763411B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 28, 2022 |
| Grant date | Sep 19, 2023 |
| Priority date | — |
| Expiry date | Nov 28, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/027
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
This disclosure covers machine-learning methods, non-transitory computer readable media, and systems that generate a multiplier that efficiently and effectively provides on-demand transportation services for a geographic area. The methods, non-transitory computer readable media, and systems dynamically adjust the multiplier with machine learners to maintain a target estimated time of arrival for a provider device to fulfill a request received from a requestor device. In some embodiments, the methods, non-transitory computer readable media, and systems generate a multiplier report comprising a representation of a geographic area and an indication of the multiplier to facilitate inflow and outflow of provider devices within and without the geographic area.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.