Embedded deep representation of social network taxonomy
US10459901B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 23, 2016 |
| Grant date | Oct 29, 2019 |
| Priority date | — |
| Expiry date | Jul 6, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In an example embodiment, for each of a plurality of different entities in a social network structure, the entity is mapped into a vector having n coordinates. The vector for each of the plurality of different entities is stored in a deep representation data structure. One or more objective functions are applied to at least one combination of two or more of the vectors in the deep representation data structure. Then, an optimization test on each of the at least one combination of two or more of the vectors is performed using a corresponding objective function output for each of the at least one combination of two or more of the vectors, and, for any combination that did not pass the optimization test, one or more coordinates for the vectors in the combination are altered so that the vectors in the combination become closer together within an n-dimensional space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.