Systems and methods for user interface adaptation for per-user metrics
US11977903B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 28, 2022 |
| Grant date | May 7, 2024 |
| Priority date | — |
| Expiry date | Nov 28, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16H50/20
- WIPO fieldMedical technology
- WIPO sectorInstruments
Abstract
A method includes receiving a first set of identifiers selected based on commonality among descriptive data corresponding to the identifiers of the first set. Each identifier corresponds to a user who has been supplied a physical object. The method includes identifying event data for the first set within a specified epoch. The method includes training a machine learning model for the first set using the identified event data. The machine learning model is trained using parallel processing of records from a storage structure storing the event data. The parallel processing includes assigning analysis of the event data of each of a subset of the first set to respective processor threads for parallel execution on processing hardware. The trained machine learning model is configured to receive a selected identifier and generate an output representing an amount of resources expected to be used by the selected identifier for a subsequent epoch.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.