GB2593363A — Low entropy browsing history for content quasi-personalization
Assigned to Google LLC · Expires 2021-09-22 · 5y expired
What this patent protects
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 …
USPTO 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.
Drugs covered by this patent
- Otezla (APREMILAST) · Amgen
Bibliographic data sourced from FDA Orange Book + USPTO public records. Plain-English summary generated by AI grounded in source text. Patent term extensions (PTR, SPC, pediatric) may shift the effective expiry. Not legal advice.
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