Learning a vector representation for unique identification codes
US10713560B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 7, 2016 |
| Grant date | Jul 14, 2020 |
| Priority date | — |
| Expiry date | Nov 26, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/088
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A computer-implemented method and system are described for learning a vector representation for unique identification codes. An example method may include generating a unique identification code list using one or more virtual interaction contexts, the unique identification code list being a list of unique identification codes, selecting a target unique identification code in the unique identification code list, and determining, from the unique identification code list, an input set of unique identification codes using the target unique identification code, the input set including the target unique identification code and one or more context unique identification codes. Some implementations may further include inputting the input set of unique identification codes into a semantic neural network model, the semantic neural network model including one or more weight matrices, and modifying the one or more weight matrices using the input set of unique identification codes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.