Predicting digital personas for digital-content recommendations using a machine-learning-based persona classifier
US10904599B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 31, 2018 |
| Grant date | Jan 26, 2021 |
| Priority date | — |
| Expiry date | Nov 22, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F18/23213
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
This disclosure relates to methods, non-transitory computer readable media, and systems that determine multiple personas corresponding to a user account for digital content and train a persona classifier to predict a given persona (from among the multiple personas) for content requests associated with the user account. By using the persona classifier, the disclosed methods, non-transitory computer readable media, and systems accurately detect a given persona for a content request upon initiation of the request. Based on determining the given persona, in some implementations, the methods, non-transitory computer readable media, and systems generate a digital-content recommendation for presentation on a client device associated with the user account.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.