Modification of base distance representation using dynamic objective
US10896384B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 28, 2017 |
| Grant date | Jan 19, 2021 |
| Priority date | — |
| Expiry date | Oct 16, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, a machine learning algorithm is used to train an objective prediction model to output a prediction value for an input member of a social networking service and a potential objective, based on member attribute information and action information. At prediction time, member attribute information and action information for a first user may be fed to the objective prediction model to obtain prediction values for a plurality of different potential objectives, one of which can be selected based on the prediction values. The selected objective can then be used to optimize coordinates, in a latent representation space, mapped to a plurality of different entities in a social network structure.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.