Target identification using big data and machine learning

A non-transitory computer-readable medium storing instructions, the instructions comprising:

• one or more instructions that, when executed by one or more processors, cause the one or more processors to:
• receive a set of machine learning models that have been trained using one or more subsets of features, of a set of features that include generic features and contextualized features associated with a group of individuals,
• wherein each subset of features, of the one or more subsets of features, identify measurable properties associated with one or more segments of individuals within the group of individuals, and
• wherein the set of machine learning models are trained to output values indicating a degree to which each individual in the group of individuals is a prospective target for a campaign;
• receive, from a client device, a request for a list of prospective targets for the campaign;
• use the set of machine learning models to determine the list of prospective targets to use for the campaign;
• and
• provide information associated with the list of prospective targets to the client device to allow the list of prospective targets to be used in the campaign.

A method, comprising:

• obtaining, by a device and from a collection of data sources, personal information and activity information for a group of individuals;
• generating, by the device, profile information by associating the personal information and the activity information for each individual in the group of individuals;
• determining, by the device, a set of features capable of being used to train a set of machine learning models by using one or more feature identification techniques to analyze the profile information,
• the set of features including generic features and contextualized features associated with the group of individuals;
• training, by the device, the set of machine learning models using one or more subsets of features of the set of features,
• the set of machine learning models to be trained to output values indicating a degree to which each individual in the group of individuals is a prospective target for a campaign;
• and
• using, by the device, the set of machine learning models to process a request from a client device for a list of prospective targets for the campaign.