Systems and methods of generating feature sets for entity evaluation
US12165228B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 21, 2021 |
| Grant date | Dec 10, 2024 |
| Priority date | — |
| Expiry date | Nov 12, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/16
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
In an illustrative embodiment, an automated system determines rental income and location quality for geographic regions using customized data sets. The system can generate customized location feature sets for applying to trained location quality prediction models where the feature sets include hybrid features combining aspects of two or more items of the location feature data into a single hybrid feature and the geographic regions are sized to a predetermined granularity level. Each feature set associated with a geographic region can be applied to a machine learning data model trained to predict rental property income at the respective predefined region from the customized location feature sets. Using the output data from the machine learning data model, the system can calculate location metrics quantifying a rental property income and the location quality for the geographic region.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.