Methods and systems for cross-platform user profiling based on disparate datasets using machine learning models
US12205000B2 · kind B2 · utility
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18Claims
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Key dates
| Filing date | Dec 31, 2020 |
| Grant date | Jan 21, 2025 |
| Priority date | — |
| Expiry date | Aug 26, 2043 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L63/102
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems for cross-platform user profiling based on disparate datasets using machine learning models. Specifically, the methods and systems comprising retrieving a cross-platform profile, wherein the cross-platform profile comprises a profile linked to an account, for a user, that is used across multiple assets. The methods and system may then update a status of the cross-platform profile based on incidents detected using machine learning models. The methods and system may then generate for presentation, in a user interface for the account, the status of cross-platform profile.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.