Evaluation using similarity score for pairwise feature sets
AssigneeWalmart Apollo, LLC
InventorsVidhya Rohini RAMAN, Paria GHORBANI
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Abstract
Systems and methods of evaluating a third-party participant for inclusion in a networked environment are disclosed. A plurality of features representative of a third-party participant are received and at least one pairwise feature score is calculated for a first feature and a second feature selected from the plurality of features. The third-party participant is classified into one of a plurality of predetermined categories by a trained model based on the at least one pairwise feature score.
Claims20
A system for generating item recommendations, comprising:
- a memory having instructions stored thereon, and a processor configured to read the instructions to:
- receive a plurality of features representative of a third-party participant;
- calculate at least one pairwise feature score for a first feature and a second feature selected from the plurality of features;
- classify the third-party participant into one of a plurality of predetermined categories by a trained model based on the at least one pairwise feature score;
- provide access to a network environment for the third-party participant based on a first classification of the third-party participant;
- and
- deny access to the network environment for the third-party participant based on a second classification of the third-party participant.
A non-transitory computer readable medium having instructions stored thereon, wherein the instructions, when executed by a processor cause a device to perform operations comprising:
- receiving a plurality of features representative of a third-party participant;
- calculating at least one pairwise feature score for a first feature and a second feature selected from the plurality of features;
- classifying the third-party participant into one of a plurality of predetermined categories using a trained model based on the at least one pairwise feature score;
- provide access to a network environment for the third-party participant based on a first classification of the third-party participant;
- and
- deny access to the network environment for the third-party participant based on a second classification of the third-party participant.
A computer-implemented method of evaluating a third-party participant in a networked environment, comprising:
- receiving a plurality of features representative of a third-party participant;
- calculating at least one pairwise feature score for a first feature and a second feature selected from the plurality of features;
- classifying the third-party participant into one of a plurality of predetermined categories using a trained model based on the at least one pairwise feature score;
- provide access to a network environment for the third-party participant based on a first classification of the third-party participant;
- and
- deny access to the network environment for the third-party participant based on a second classification of the third-party participant.
Dependencies are inferred from the claim text.