Communicating advertising campaigns

An apparatus comprising:

• at least one computer cluster executing code to perform:
• training a global standards model with global content standards and/or advertising scores, wherein the computer cluster comprises application nodes that communicate task requests to schedulers that manage the completion of the task requests in parallel and out of order on computer nodes that respond to the schedulers;
• training a plurality of campaign characteristic models on campaign characteristics and/or the advertising scores;
• continuously scanning content media;
• identifying whether the content media violates the global content standards using the global standards model;
• in response to the content media violating the global content standards, adding the identified content media to a block list and terminating processing of the content media;
• in response to the content media not being on the block list, generating category scores for a plurality of advertising categories using the campaign characteristic models;
• updating the advertising score for the content media for each of the plurality of advertising campaigns based on the category scores and advertiser preferences for the plurality of advertising campaigns;
• and
• in response to a request for the content media via a network, communicating a given advertising campaign with a given advertising score that exceeds an advertising threshold and is not on the block list with the content media via the network to an electronic device, minimizing traffic on the network.

A computer program product comprising a non-transitory storage medium storing code executable by a computer cluster to perform:

• training a global standards model with global content standards and/or advertising scores, wherein the computer cluster comprises application nodes that communicate task requests to schedulers that manage the completion of the task requests in parallel and out of order on computer nodes that respond to the schedulers;
• training a plurality of campaign characteristic models on campaign characteristics and/or the advertising scores;
• continuously scanning content media;
• identifying whether the content media violates the global content standards using the global standards model;
• in response to the content media violating the global content standards, adding the identified content media to a block list and terminating processing of the content media;
• in response to the content media not being on the block list, generating category scores for a plurality of advertising categories using the campaign characteristic models;
• updating the advertising score for the content media for each of the plurality of advertising campaigns based on the category scores and advertiser preferences for the plurality of advertising campaigns;
• and
• in response to a request for the content media via a network, communicating a given advertising campaign with a given advertising score that exceeds an advertising threshold and is not on the block list with the content media via the network to an electronic device, minimizing traffic on the network.