Machine for audience propensity ranking using internet of things (IoT) inputs
US11907964B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Mar 7, 2019 |
| Grant date | Feb 20, 2024 |
| Priority date | — |
| Expiry date | May 13, 2041 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/12
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A specially programmed machine and method generates propensity information based on inputs received from machines connected as part of an Internet of Things (IoT) environment, where the machine appends a predictive segmentation attribute to each data input received and generates a matrix based on the counts of each attribute-input combination. The attribute-input counts for each combination are converted to a statistical metric that represents propensity information for consumers fitting into the segment associated with the particular attribute. The propensity information can be relayed to a client in a variety of ways, including a direct display of the propensity information, appendage of the propensity information to the clients database, or using the information to provide an audience report to the client.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.