Tunable Algorithmic Segments
AssigneeAdobe Systems Incorporated
InventorsNicholas M. Jordan, Margarita R. Savova, Matvey Kapilevich, Paul Mackles, David M. Weinstein
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AssigneeAdobe Systems Incorporated
InventorsNicholas M. Jordan, Margarita R. Savova, Matvey Kapilevich, Paul Mackles, David M. Weinstein
Estimating the term…
Tunable algorithmic segment techniques are described. In one or more implementations, a target audience definition is obtained that is input to initiate creation of a look-alike model. The target audience definition indicates traits associated with a baseline group of consumers who have interacted with online resources in a designated manner, such as by buying a product, visiting a website, using a service, and so forth. Tuning parameters designated for the look-alike model are ascertained and the look-alike model is built based on the target audience definition and the tuning parameters. The tuning parameters may include at least a setting selectable to control reach versus accuracy for the look-alike model. Segment data indicative of market segments generated according to the look-alike model may then be exposed for manipulation by a client. The manipulation may include selectable control over the tuning parameters to generate different look-alike groups from the segment data.
A method implemented by a computing device comprising:
One or more computer-readable storage media comprising instructions that, when executed by a computing device, implement a marketing service configured to perform operations comprising:
A computing device comprising:
Dependencies are inferred from the claim text.