US 2019/0378165 A1 · INDUCING ACTIONS IN CONSUMER ENTITIES

Abstract

A system is provided for providing action inducers to target consumer entities. The system accesses transactions relating to actions involving a consumer entity and a provider entity. The system generates training data based on the transactions. The training data includes a feature vector for each consumer entity that includes values for features derived from the transactions involving that consumer entity and a provider entity. Each feature vector is labeled with an outcome that indicates whether a previously provided action inducer induced the consumer entity to take an action. The system trains a classifier based on the training data, generates a target feature vector for a target consumer entity, applies the classifier to the target feature vector to generate a predicted outcome for the target action inducer, and when the predicted outcome satisfies an inducement criterion, provides the target action inducer to the target consumer entity.

Claims21

Dependent claims

A method performed by a computing system for providing action inducers to target consumer entities, the method comprising:

accessing transactions relating to actions involving a consumer entity and a provider entity, at least some of the transactions based on a previously provided action inducers;
generating training data based on the transactions, the training data including for a plurality of consumer entities a feature vector for that entity that includes values for features derived from the transactions involving that consumer entity and a provider entity, each feature vector labeled with an outcome related to a target action inducer, the outcome indicating whether a previously provided action inducer induced the consumer entity to take an action;
training a classifier based on the training data, the classifier for inputting a feature vector and outputting a predicted outcome;
generating a target feature vector for a target consumer entity;
applying the classifier to the target feature vector to generate a predicted outcome for the target action inducer;
and
when the predicted outcome satisfies an inducement criterion, providing the target action inducer to the target consumer entity.

4 more elements

One or more computing systems for providing action inducers to target consumer entities, the one or more computing systems comprising:

one or more computer-readable storage mediums storing computer-executable instructions for controlling the one or more computing systems to:
access transactions relating to actions involving a consumer entity and a provider entity, at least some of the transactions based on a previously provided action inducers;
generate training data based on the transactions, the training data including for a plurality of consumer entities a feature vector for that entity that includes values for features derived from the transactions involving that consumer entity and a provider entity, each feature vector labeled with an outcome related to target action inducer, the outcome indicating whether a previously provided action inducer induced the consumer entity to take an action;
train a classifier based on the training data, the classifier for inputting a feature vector and outputting a predicted outcome;
generate a target feature vector for a target consumer entity;
apply the classifier to the target feature vector to generate a predicted outcome for the target action inducer;
and
when the predicted outcome satisfies an inducement criterion, provide the target action inducer to the target consumer entity;
and
one or more processors for executing the computer-executable instructions stored in the one or more computer-readable storage mediums.

7 more elements

Dependencies are inferred from the claim text.

Inducing actions in consumer entities

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Inducing actions in consumer entities

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Abstract

Claims21