Low entropy browsing history for quasi-personalizing content

摘要

The present disclosure provides systems and methods for quasi-personalizing content or for retrieving anonymized content via the aggregated browsing history of a wide variety of devices, such as millions or billions of devices. A sparse matrix can be built from the aggregated browsing history and dimensionally reduced, reducing entropy and providing anonymity for individual devices. Relevant content can be selected via quasi-personalized clusters that display similar browser histories without individual device details being made accessible to content providers.