Tunable algorithmic segments
US10373197B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 24, 2012 |
| Grant date | Aug 6, 2019 |
| Priority date | — |
| Expiry date | May 10, 2036 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0254
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.