Online user behavior analysis service backed by deep learning models trained on shared digital information
US11539716B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Jul 30, 2019 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Feb 24, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/096
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for online fraud protection. One of the methods includes receiving a query associated with a user account of an online service provider; providing the query to a deep neural network model to generate a prediction of whether the user account is fraudulent, wherein the deep neural network model is trained using anonymized event data for a collection of users received from one or more online service providers; and providing the prediction to the online service provider.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.