Audience recommendation using node similarity in combined contextual graph embeddings
US11727422B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 1, 2021 |
| Grant date | Aug 15, 2023 |
| Priority date | — |
| Expiry date | Feb 11, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0201
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for audience recommendation using node similarity in combined contextual graph embeddings can include receiving a merchant identifier of a merchant and generating one or more merchant tags describing merchant data corresponding to the merchant. A set of audience embeddings can be generated from a set of audience auxiliary data using an audience taxonomy and a set of merchant embeddings can be generated from the merchant data relating to the merchant using the one or more merchant tags. The set of audience embeddings and the set of merchant embeddings are used to produce a heterogenous information network of combined audience data and merchant data, which is then analyzed to identify relationships between each audience and the merchant. A score for one or more audiences can be determined based on the relationships between the one or more audiences and the merchant.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.