Systems and methods for user interface adaptation for per-user metrics
US12039347B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 30, 2023 |
| Grant date | Jul 16, 2024 |
| Priority date | — |
| Expiry date | Mar 30, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method includes storing a parameter related to a user, storing descriptive data for multiple identifiers, and indexing multiple events. Each event corresponds to a physical object supplied to a user on behalf of an entity. The method includes identifying a first set of identifiers based on commonality among the descriptive data. The method includes training a machine learning model for the first set of identifiers based on event data from within a predetermined epoch. The method includes receiving an indication of a selected identifier and determining a first intake metric of the selected identifiers using the machine learning model. The method includes determining a second intake metric of the selected identifier and the parameter and transforming the user interface according to the first and second intake metrics. The first intake metric represents an amount of resources expected to be received during a second epoch subsequent to the predetermined epoch.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.