Advertising targeting based on image-derived metrics

Abstract

Advertising targeting metrics for individuals can be derived from images associated with those individuals. Such advertising targeting metrics can include physical attributes, as well as preferences based on prior activity, or history. Public images associated with specific user identities can be processed and advertising targeting metrics can be derived therefrom to more accurately tailor the advertisements displayed to the individuals associated with those user identities. Additionally, non-public images can be likewise processed, either remotely or, for greater privacy, locally if so allowed by the user. Advertisers can then utilize the greater breath of advertising targeting metrics that can be derived from images to more accurately target advertisements to specific groups. In doing so, advertisers can submit their own images of exemplary targeted users, and the targeting metrics for those advertisers' advertisements can be automatically derived from the submitted images utilizing equivalent algorithms.