US 2022/0036385 A1 · Segment Valuation in a Digital Medium Environment

Abstract

Segment valuation techniques usable in a digital medium environment are described. To do so, a segment valuation system first identifies the attributes that are significant in achievement of a desired metric (e.g., conversion) and then values segments based on those significant attributes. Attributes are selected from the trained model based on significance of those attributes towards achieving the desired metric. A valuation of a segment may then be calculated based on the valuations of these attributes. For example, inclusion of the selected attributes within a segment, and the valuations of those selected attributes, is then used by the segment valuation system to generate data describing a value of the segment towards achieving the metric.

Claims20

Dependent claims

In a digital medium segmentation valuation environment, a method implemented by a computing device, the method comprising:

obtaining, by the computing device, data describing a population and achievement of a metric by the population;
processing, by the computing device using a machine learning model, the data by employing a penalty term configured to reduce overfitting and underfitting of the model;
generating, by the computing device using the machine learning model, a valuation of a segment of the population based on a significance of respective attributes of a plurality of attributes of the population on the achievement of the metric;
and
outputting, by the computing device, the valuation of the segment of the population.

2 more elements

Dependencies are inferred from the claim text.

Segment Valuation in a Digital Medium Environment

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Segment Valuation in a Digital Medium Environment

Life of this patent

Abstract

Claims20