Patent · US Active

Low entropy browsing history for ads quasi-personalization

US11423441B2 · kind B2 · utility

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20Claims
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Key dates

Filing dateNov 27, 2019
Grant dateAug 23, 2022
Priority date
Expiry dateAug 4, 2040

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.