Intelligent recommendations implemented by modelling user profile through deep learning of multimodal user data
US11164105B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 13, 2017 |
| Grant date | Nov 2, 2021 |
| Priority date | — |
| Expiry date | Sep 3, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/022
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods are provided to implement intelligent recommendations to users by modeling user profiles through deep learning of multimodal user data. For example, a recommendation computing platform collects multimodal user data from a computing device of a registered user, wherein the multimodal user data include time-series data, unstructured textual data, and multimedia data. A first deep learning classification engine is utilized to extract features from the multimodal user data. A second deep learning classification engine is utilized to generate a profile of the registered user based on the extracted features. A deep recommendation classification engine is utilized to determine a recommendation for the registered user based on the profile of the registered user, wherein the recommendation identifies at least one additional registered user. The recommendation is presented to the registered user on the computing device of the registered user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.