Treatment selection and application using machine learning to predict cost of treatment where information about cost of treatment is unknown
US12198173B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2022 |
| Grant date | Jan 14, 2025 |
| Priority date | — |
| Expiry date | Apr 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0625
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A user treatment engine uses user data describing characteristics of a user to evaluate a set of treatments that the user treatment engine may apply to the user. The user treatment engine generates treatment cost predictions for the treatments and generates treatment scores for the set of treatments based on the treatment cost predictions for the treatments and the user data for the user. The user treatment engine selects and applies a treatment from the set of treatments based on the generated treatment scores. The user treatment engine determines a reward to the online concierge system for the application of the treatment to the user and updates treatment selection parameters for the applied treatment based on the determined reward.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.