US 2020/0090187 A1 · APPARATUS AND METHOD FOR ENHANCED MESSAGE TARGETING

Abstract

A method, apparatus, and computer program product are disclosed for improved machine learning using a statistical model. In the context of an apparatus, some example embodiments include a processor configured to cause retrieval of information regarding a plurality of consumers, and modeling circuitry configured to train a statistical model of the plurality of consumers based on the retrieved information, and predict, using the statistical model, an incremental booking value associated with the promotion for each consumer of the plurality of consumers. The processor is further configured to select a subset of the plurality of consumers for receiving impressions of the promotion. Some example embodiments may further include communications circuitry configured to transmit an impression of the promotion to each consumer in the subset of the plurality of consumers.

Claims27

Dependent claims

An apparatus for improved machine learning using a statistical model, the apparatus comprising at least one processor and at least one non-transitory computer-readable memory, having computer-coded instructions thereon, that in execution with the at least one processor configure the apparatus to:

train the statistical model based on retrieved information regarding a plurality of consumers, and
predict, using the statistical model, an incremental booking value associated with a promotion for each consumer of the plurality of consumers by at least:
estimating, using the statistical model, a first expected revenue, wherein the first expected revenue is estimated based on a first set of input information comprising at least a first promotion indicator indicating the consumer would have access to the promotion for a first time period;
and
calculating the incremental booking value based on a second expected revenue and the first expected revenue, wherein the second expected revenue is based on a second set of input information comprising at least a second promotion indicator indicating the consumer would not have access to the promotion;
and
select a subset of the plurality of consumers for whom the predicted incremental booking value satisfies a predefined threshold;
and
transmit an impression of the promotion to each consumer in the subset of the plurality of consumers.

6 more elements

A method for improved machine learning using a statistical model executed by a processor, the method comprising:

training a statistical model based on retrieved information regarding a plurality of consumers;
predicting, using the statistical model, an incremental booking value associated with a promotion for each consumer of the plurality of consumers by at least:
estimating, using the statistical model, a first expected revenue wherein the first expected revenue is estimated based on a first set of input information comprising at least a first promotion indicator indicating the consumer would have access to the promotion for a first time period;
and
calculating the incremental booking value based on a second expected revenue and the first expected revenue, wherein the second expected revenue is based on a second set of input information comprising at least a second promotion indicator indicating the consumer would not have access to the promotion,
selecting a subset of the plurality of consumers for whom the predicted incremental booking value satisfies a predefined threshold;
and
transmitting an impression of the promotion to each consumer in the subset of the plurality of consumers.

5 more elements

A apparatus for improved machine learning using a statistical model, the apparatus comprising:

means for training a statistical model of the plurality of consumers based on retrieved information regarding a plurality of consumers;
means for predicting, using the statistical model, an incremental booking value associated with a promotion for each consumer of the plurality of consumers comprising:
means for estimating, using the statistical model, a first expected revenue, wherein the first expected revenue is estimated based on a first set of input information comprising at least a first promotion indicator indicating the consumer would have access to the promotion for a first time period;
and
means for calculating the incremental booking value based on a second expected revenue and the first expected revenue, wherein the second expected revenue is based on a second set of input information comprising at least a second promotion indicator indicating the Consumer would not have access to the promotion,
means for selecting a subset of the plurality of consumers for whom the predicted incremental booking value satisfies a redefined threshold;
and
means for transmitting an impression of the promotion to each consumer in the subset of the plurality of consumers.

5 more elements

Dependencies are inferred from the claim text.

Apparatus and method for enhanced message targeting

Life of this patent

Apparatus and method for enhanced message targeting

Life of this patent

Abstract

Claims27