Machine-learning-based systems and methods for quality detection of digital input
US10572778B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2019 |
| Grant date | Feb 25, 2020 |
| Priority date | — |
| Expiry date | Mar 15, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for assessing and maintaining the quality, validity, and/or accuracy of digital participant input are provided. Methods may include capturing session data via a computing device, building a set of metrics based on the session data, deriving a set of characteristic scores, generating a set of classifications based on the set of characteristic scores, and displaying the set of classifications on a user interface (“UP”) that is associated with a session administrator. The set of classifications may include a flag for rejecting a session and/or a participant when the set of characteristic scores includes a score that is outside a predetermined threshold.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.