Meta Platforms, Inc.
Inferring a reach of a content item presented to individuals by one or more content publishers for a set of households

Abstract:

An online system, such as an online content distribution system, receives information describing presentations of a content item. The online system identifies online system users included among individuals presented with the content item, retrieves information describing a household of each user, and de-biases this information to adjust for differences between the population of online system users and the individuals to whom the content item was presented. The online system then trains a set of machine-learning models to infer a reach of the content item for each of multiple households using the de-biased information. Using the machine-learning models, the online system infers a reach of the content item for each of the households.