5 results about "Demographics" patented technology

A disclosed example includes accessing computer-generated impression records, the computer-generated impression records based on network communications received at a server of a database proprietor from client devices, the computer-generated impression records indicative of accesses to media at the client devices; accessing self-reported demographic data and behavioral data from a database of the database proprietor, the self-reported demographic data and the behavioral data corresponding to user accounts registered with the database proprietor and associated with the client devices; comparing the self-reported demographic data with a probability distribution of higher-accuracy demographic data; determining different adjustments for corresponding ones of self-reported demographics of the self-reported demographic data based on the comparison; adjusting the corresponding ones of the self-reported demographics based on corresponding ones of the different adjustments to generate adjusted user demographic data; and assigning the adjusted user demographic data to corresponding ones of the computer-generated impression records.

Methods and apparatus to apply household-level weights to audience measurement data at a household-member level are disclosed. An example method to determine demographics of populations to measure media audiences of populations includes determining demographics for members of a first household of a sub-population. First demographics of a first member of the first household are different than second demographics of a second member of the first household. The example method includes calculating a first household-level weight for the first household based on a demographics distribution of the sub-population and aggregate demographics of a population. The example method includes applying the first household-level weight to the first demographics of the first member, applying the first household-level weight to the second demographics of the second member, and estimating a demographics distribution of the population to measure a media audience of the population based on the weighted first demographics and the weighted second demographics.

An appearance of a character depicted in a media asset may be altered, for example, by a trained machine learning model, based on demographic attributes of a consumer of the media asset, such as the age or ethnicity of the consumer. A character alteration rule may limit some types of alteration, for example, re-aging a character that would depict a minor in some situation. Altering the appearance of one or more characters depicted in the media asset may also entail altering the appearance of a first character based on demographics of the consumer and automatically altering the appearance of a second character based on the second character's relationship with the first character. The re-aging the second character may be proportional to the re-aging of the first character.

Disclosed herein are system, apparatus, article of manufacture, method, and / or computer program product embodiments, and / or combinations and sub-combinations thereof, for demographic predictions for content items. An example embodiment operates by assigning weights representing demographics to a first plurality of nodes of a predictive model and assigning predictive values representing predicted demographics to a second plurality of nodes of the model. Pairwise distances between the predictive values for the nodes of the second plurality of nodes and the weighted values of the first plurality of nodes may be calculated and the shortest calculated pairwise distances may be used to assign demographics for content items corresponding to nodes of the first plurality of nodes to content items corresponding nodes of the second plurality of nodes. When content is requested, a content item for which the same demographic has been assigned may be recommended to the requestor.

An appearance of a character depicted in a media asset may be altered, for example, by a trained machine learning model, based on demographic attributes of a consumer of the media asset, such as the age or ethnicity of the consumer. A character alteration rule may limit some types of alteration, for example, re-aging a character that would depict a minor in some situation. Altering the appearance of one or more characters depicted in the media asset may also entail altering the appearance of a first character based on demographics of the consumer and automatically altering the appearance of a second character based on the second character's relationship with the first character. The re-aging the second character may be proportional to the re-aging of the first character.