Use of machine-learning models in creating messages for advocacy campaigns
US11973726B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Sep 20, 2022 |
| Grant date | Apr 30, 2024 |
| Priority date | — |
| Expiry date | Oct 27, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system creates alerts of issues of importance to an organization. While an organization does not want to miss the opportunity to run an advocacy campaign on an issue of importance, it also does not want to run an unsuccessful campaign that might burden or bore those to whom the campaign is directed. The system maintains a history of previous campaigns as well as success outcomes of those campaigns. A computational model operates on selected previous campaigns and a candidate issue to determine a score indicative of whether a campaign should be run. The score can include a combination of relevancy to criteria for an issue of importance, similarity to issues from previous campaigns, and outcome success data for the selected previous campaigns. If the combined score meets a threshold, the system can present an option to initiate a new advocacy campaign on the candidate issue.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.