Machine learning systems for computer generation of automated recommendation outputs
US11538076B1 · kind B1 · utility
Assignee
Inventor
Key dates
| Filing date | Nov 23, 2020 |
| Grant date | Dec 27, 2022 |
| Priority date | — |
| Expiry date | Apr 29, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0205
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A computerized method of automatically generating a recommendation output includes training a machine learning model with historical feature vector inputs to generate a recommendation output, generating a set of inputs specific to an entity, and transforming the set of inputs into a profile data structure. The profile data structure includes multiple attributes. The transforming includes, for each attribute, assigning a preference according to the set of inputs. The method includes obtaining structured supplemental data associated with the entity. The method includes obtaining a set of option identifiers by filtering the option identifiers according to option criteria specific to the entity. The method includes creating a feature vector input according to the set of option identifiers, the structured supplemental data, and the assigned preferences of the profile data structure. The method includes processing, by the machine learning model, the feature vector input to generate the recommendation output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.