US 2026/0228301 A1Published application

Computer-implemented methods, systems comprising computer-readable media, and electronic devices for computationally efficient, high dimensionality digital interaction optimization

AssigneeMastercard International Incorporated

InventorsJustin Harnish, Nicholas Baguley

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Abstract

Computer-implemented method for digital interaction optimization that includes: receiving a service request for a recommendation for optimizing performance by a participant in a putative digital interaction; matching the service request to a service policy, the service policy defining computational parameters for the optimized performance; matching the computational parameters to a plurality of Hamiltonian value function outputs, the Hamiltonian value function outputs being configured as a result of evaluation of one of a plurality of Hamiltonian value functions against each other of the Hamiltonian value functions according to an objective function; processing the plurality of Hamiltonian value function outputs according to the computational parameters to generate the recommendation; and output the recommendation to the participant.

Claims20

Dependent claims

Non-transitory computer-readable storage media having computer-executable instructions stored thereon for digital interaction optimization, wherein when executed by at least one processor the computer-executable instructions cause the at least one processor to:

receive a service request for a recommendation for optimizing performance of a putative digital interaction by a participant in the putative digital interaction;
match the service request to a first service policy, the first service policy defining first computational parameters for optimized performance in view of a first goal set;
identify a second goal set relating to the putative digital interaction;
match the second goal set to a second service policy, the second service policy defining second computational parameters for optimized performance in view of the second goal set;
match the first and second sets of computational parameters to a plurality of outputs, each of the plurality of outputs being configured by comparing data for respective pairs of a plurality of previous digital interactions having a matching use case to determine advancement toward an objective correlated to a difference in the data between the two previous digital interactions;
process the plurality of outputs according to the first computational parameters to generate a first recommendation;
process the plurality of outputs according to the second computational parameters to generate a second recommendation;
and
output at least one of the first recommendation and the second recommendation to the participant.

6 more elements

receive a service request for a recommendation for optimizing performance by a participant in a putative digital interaction;
match the service request to a service policy, the service policy defining computational parameters for the optimized performance;
match the computational parameters to a plurality of Hamiltonian value function outputs, the plurality of Hamiltonian value function outputs being configured as a result of evaluation of one of a plurality of Hamiltonian value functions against each other of the plurality of Hamiltonian value functions according to an objective function;
process the plurality of Hamiltonian value function outputs according to the computational parameters to generate the recommendation;
and
output the recommendation to the participant.

3 more elements

Dependencies are inferred from the claim text.