Using machine learning for iconography recommendations
US11887226B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 10, 2022 |
| Grant date | Jan 30, 2024 |
| Priority date | — |
| Expiry date | Jan 15, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In some implementations, a recommendation system may input text into a machine learning model that was trained using input specific to an organization associated with the text and was refined using input specific to a portion of the organization. The recommendation system may receive, from the machine learning model, a recommendation indicating one or more visual components, stored in a database associated with the organization, to use with the text. The machine learning model may use natural language processing and sentiment detection to parse the text. Accordingly, the recommendation system may receive the one or more visual components from the database and generate an initial draft including the text and the one or more visual components.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.