Methods and apparatus to deliver targeted advertising

A method comprising:

• in response to receiving a request to provide a media object, generating, by executing an instruction with a processor, a custom media object using a first media object element and a second media object element independent of the first media object element, the first and second media object elements based on at least one of a user profile or a group profile corresponding to a user, the user corresponding to the request;
• transmitting the custom media object to a computing device of the user via the Internet;
• generating the user profile when the request corresponds to a new user;
• analyzing, by executing an instruction with the processor, a performance of the custom media object;
• and
• updating, by executing an instruction with the processor, at least one of the user profile or the group profile using neural network machine learning to adjust ratings of the first media object element and the second media object element the performance of the custom media object, the neural network machine learning to adjust the ratings of the first media object element and the second media object element based on a comparison of the performance of the custom media object to previous overlapping custom objects including at least one of the first media object element or the second media object element.

A non-transitory computer readable storage medium comprising instructions which, when executed, cause a machine to at least:

• in response to receiving a request to provide a media object:
• generate a first customizable media object element to include in a custom media object for a user, the first customizable media object element based on at least one of a user profile or a group profile corresponding to the user, the user corresponding to the request;
• and
• generating, by executing an instruction with a processor, the custom media object using a second customizable media object element independent of the first customizable media object element, the first and second customizable media object elements based on at least one of the user profile or the group profile corresponding to the user;
• transmit the custom media object to a computing device of the user via a network communication;
• generate the user profile when the request corresponds to a new user;
• analyze a performance of the custom media object;
• and
• update at least one of the user profile or the group profile using neural network machine learning to adjust ratings of the first customizable media object element and the second customizable media object element based on the performance of the custom media object, the neural network machine learning to adjust the ratings of the first customizable media object element and the second customizable media object element based on a comparison of the performance of the custom media object to previous overlapping custom objects including at least one of the first customizable media object element or the second customizable media object element.