This document describes a system where advertisers do not need to create multiple variations of an advertisement for targeting different sets of users. The system includes utilizing machine learning algorithms to generate a dedicated model to generalize user interests (e.g., as opposed to a rule based approach). The machine learning algorithms and model can be applied to a large scale of users to provide coverage on personalized advertisements. As the advertisement is generated at query time, additional storage is not needed in the backend.
Gupta, Sanchit and Kumar, Ashwin, "Personalized Advertisement Content", Technical Disclosure Commons, (November 10, 2017)