CPC G06Q 30/0248 (2013.01) [G06N 3/08 (2013.01); G06Q 30/0264 (2013.01)] | 20 Claims |
1. A computer implemented method for determining provenance and using machine learning to generate a digital identity of a first entity purporting to be a second entity defined by one of a publisher and an intermediary representing the publisher, the computer implemented method comprising:
identifying a plurality of metrics of a digital advertising request that is received, using a transceiver of a computing device, from a first entity computing device of the first entity, wherein the plurality of metrics comprises at least one of (i) a serving constraint having a serving constraint value and (ii) a protocol having a protocol value;
converting the plurality of metrics to a plurality of embeddings;
generating, with a processor of the computing device using machine learning, a first portion of the digital identity of the first entity based on the plurality of embeddings;
comparing, with the processor using machine learning, the first portion of the digital identity to a second digital identity associated with the second entity that the first entity purports to be;
determining at least one second digital identity metric of the second digital identity that is not identified in the digital advertising request; and
generating a response to the digital advertising request comprising a solicitation for a reply message, from the first entity, comprising at least one second metric related to at least one second digital identity metric of the second digital identity that is not identified in the digital advertising request.
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