Recommending the most relevant charity for a news article
US12136112B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 12, 2021 |
| Grant date | Nov 5, 2024 |
| Priority date | — |
| Expiry date | Apr 12, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/30
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The disclosure relates to AI-based machine-learning and natural language modeling to identify semantic similarities between sets of content having natural language text. For example, a system may generate a relevance classification that indicates whether content such as articles are non-specifically relevant to charities without identifying a particular charity. If the content is non-specifically relevant to charities, the system may apply a natural language model to generate sentence embeddings based on the content and determine a level similarity between the sentence embeddings and a query embedding generated from a charity query. The charity query may itself be generated from a full description of the charity through an encoder-decoder architecture with reinforcement learning.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.