Automation engine using a hyperparameter learning model to optimize sub-systems of an online system
US12271939B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 30, 2022 |
| Grant date | Apr 8, 2025 |
| Priority date | — |
| Expiry date | May 19, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q10/087
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
An online concierge system includes a marketplace automation engine for setting various control parameters affecting marketplace operation. The marketplace automation engine applies a hyperparameter learning model to the marketplace state data to predict a set of hyperparameters affecting a set of respective parameterized control decision models. The hyperparameter learning model is trained on historical marketplace state data and a configured outcome objective for the online concierge system. The marketplace automation engine independently applies the set of parameterized control decision models to the marketplace state data using the hyperparameters to generate a respective set of control parameters affecting marketplace operation of the online concierge system. The marketplace automation engine applies the respective set of control parameters to operation of the online concierge system.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.