Low entropy browsing history for ads quasi-personalization
US11954705B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | Aug 22, 2022 |
| Grant date | Apr 9, 2024 |
| Priority date | — |
| Expiry date | Aug 22, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L2209/42
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides systems and methods for content quasi-personalization or anonymized content retrieval via aggregated browsing history of a large plurality of devices, such as millions or billions of devices. A sparse matrix may be constructed from the aggregated browsing history, and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content may be selected via quasi-personalized clusters representing similar browsing histories, without exposing individual device details to content providers.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.