Tunable Algorithmic Segments

摘要

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.

主权项

1. A method implemented by a computing device comprising:
obtaining a target audience definition input by a client for creation of a look-alike model; ascertaining tuning parameters designated for the look-alike model; building the look-alike model based on the target audience definition and the tuning parameters; and exposing segment data generated according to the look-alike model for manipulation by the client.