Replacing a potentially threatening virtual asset
US11411984B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 22, 2020 |
| Grant date | Aug 9, 2022 |
| Priority date | — |
| Expiry date | Oct 6, 2040 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/1416
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Big data analysis methods and machine learning based models are used to provide offer recommendations to consumers that are probabilistically determined to be relevant to a given consumer. Machine learning based matching of user attributes and offer attributes is first performed to identify potentially relevant offers for a given consumer. A de-duplication process is then used to identify and eliminate any offers represented in the offer data that the consumer has already seen, has historically shown no interest in, has already accepted, that are directed to product or service types the user/consumer already owns, for which the user does not qualify, or that are otherwise deemed to be irrelevant to the consumer.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.