CPC G06Q 40/03 (2023.01) [G06N 7/01 (2023.01); G06N 20/00 (2019.01)] | 20 Claims |
1. A tangible, non-transitory, machine-readable medium storing instructions that when executed by one or more processors effectuate operations comprising:
obtaining, with a computer system, one or more out of plurality of datasets having a plurality of interaction-event records, wherein:
the interaction-event records describe respective interaction events,
the interaction-events are interactions in which a first entity has experiences or obtains other information pertaining to second entity, and
at least some of the interaction-event records are associated with respective risks by which sequences of at least some of the interaction events relative to one another are ascertainable;
determining, with the computer system, using a trained machine learning model with a transformer architecture, based on at least some of the interaction-event records, sets of event-risk scores, the sets corresponding to at least some of the interaction events, wherein:
at least some of the event-risk scores are determined at least in part with a machine learning classifier;
at least some respective event-risk scores are indicative of an effective of a respective risk ascribed by the first entity to a respective aspect of the second entity; and
at least some respective event-risk scores are based on both:
respective contributions of respective corresponding events to a subsequent event in the one or more out of the plurality of datasets, and
a risk ascribed to a subsequent event in the one or more out of the plurality of datasets, the subsequent event occurring after the respective corresponding events; and
storing, with the computer system, the sets of event-risk scores in memory.
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