公开(公告)号：US10373197B2

公开(公告)日：2019-08-06

申请号：US13726308

申请日：2012-12-24

Applicant: Adobe Inc.

Inventor： Nicholas M. Jordon ,  Margarita R. Savova ,  Matvey Kapilevich ,  Paul Mackles ,  David M. Weinstein

IPC: G06Q30/02

Abstract: 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.