Machine learning based models for automatic conversations in online systems
US11790894B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2021 |
| Grant date | Oct 17, 2023 |
| Priority date | — |
| Expiry date | Oct 21, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F40/56
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A system uses conversation engines to process natural language requests and conduct automatic conversations with users. The system generates responses to users in an online conversation. The system ranks generated user responses for the online conversation. The system generates a context vector based on a sequence of utterances of the conversation and generates response vectors for generated user responses. The system ranks the user responses based on a comparison of the context vectors and user response vectors. The system uses a machine learning based model that uses a pretrained neural network that supports multiple languages. The system determines a context of an utterance based on utterances in the conversation. The system generates responses and ranks them based on the context. The ranked responses are used to respond to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.