Online active learning in user-generated content streams
US11575632B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 30, 2019 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Dec 30, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/20
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Software for online active learning receives content posted to an online stream at a website. The software converts the content into an elemental representation and inputs the elemental representation into a probit model to obtain a predictive probability that the content is abusive. The software also calculates an importance weight based on the elemental representation. And the software updates the probit model using the content, the importance weight, and an acquired label if a condition is met. The condition depends on an instrumental distribution. The software removes the content from the online stream if a condition is met. The condition depends on the predictive probability, if an acquired label is unavailable.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.