Determining an attribute of an online user using user device data

摘要

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.

主权项

1. A computer-implemented method for determining an attribute for an online user of a candidate computing device, the method implemented using a host computing device, the method comprising:
identifying, by the host computing device, a first set of model data including a first set of device data from a plurality of model computing devices, the first set of device data including location data and access data for the plurality of model computing devices; identifying a plurality of categories for an attribute of a population segment, each category defining a segment of the attribute, the population segment including the candidate computing device; training a classification model by the host computing device using the first set of model data and the plurality of categories; receiving a device identifier from the candidate computing device, the device identifier including device data of the candidate computing device; applying the device data of the candidate computing device to the classification model to generate an offline prediction of a category of the plurality of categories for the candidate computing device; determining a location of the candidate computing device using an IP address of the candidate computing device; generating an online prediction of a category of the plurality of categories for the candidate computing device using the location; and generating a composite prediction of a category of the plurality of categories for the candidate computing device by combining the offline prediction and the online prediction.