Abstract: The present disclosure provides systems and methods for automatically detecting third-party re-identification of anonymized computing devices.

Abstract: A computer-implemented method for determining an attribute for an online user of a candidate computing device is provided. The method implemented uses a host computing device. The method includes identifying a first set of model data including device data from a plurality of model computing devices including location data and access data, and a plurality of categories for an attribute of a population segment including an online user. Each category defines a segment of the attribute. The method further includes training a classification model by the host computing device with at least the first set of model data and the plurality of categories. The method also includes identifying device data associated with the candidate computing device. The method further includes applying the device data of the candidate computing device to the classification model to determine a category of the plurality of categories for the online user.

Abstract: Systems and methods for content selection with precision controls include receiving device identifier data from multiple sources. A machine learning model may be applied to the device identifier data and content selection parameter values may be predicted. Percentiles for the predicted content selection parameter values may be analyzed to determine precision factors for the predicted content selection parameter values.

Abstract: Systems and methods for content selection with precision controls include receiving a content selection parameter value and a degree of precision specified by a content provider. A content selection parameter value for a device identifier may be predicted using a predictive model. A precision factor may be associated with the predicted content selection parameter value. Content from the provider may be selected based on a comparison between the predicted selection parameter value and precision factor for the device identifier and the selection parameter value and degree of precision specified by the content provider.

Abstract: Methods and systems for distributing interest categories within a hierarchical classification, wherein a parent interest category is identified and the hierarchical classification is filtered. A sub-interest category is extracted, based on the filtering, and a weighting associated with the sub-interest category is transferred into the parent interest category. The weighting is distributed in the hierarchical classification.

Abstract: Systems, apparatus, and methods allow for revenue sharing between data providers and web page publishers. In one aspect, a computer-implemented method includes: receiving a request for alternative content based on a request for content; receiving user identifier data from at least one data provider; selecting at least one first alternative content from a first pool of alternative content that is contextually related to the requested content; determining a first cost of the at least one first alternative content; selecting, by at least one processing circuit, at least one second alternative content from the first pool, and from the second pool of alternative content that is related to the user identifier data; determining a second cost of the at least one second alternative content; and determining a pricing value of the user identifier data based on a difference between the second and the first costs.