Utilizing machine learning models to generate interactive digital text threads with personalized digital text reply options
US12010075B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jun 29, 2022 |
| Grant date | Jun 11, 2024 |
| Priority date | — |
| Expiry date | Jun 29, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/216
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present disclosure relates to systems, non-transitory computer-readable media, and methods for utilizing a machine learning model to determine predicted client intent classifications and generate personalized digital text reply options within an automated interactive digital text thread. For example, disclosed systems utilize the machine learning model to generate predicted client intent classifications and corresponding intent classification probabilities. The disclosed systems utilize the predicted client disposition classifications and the disposition classification probabilities to generate personalized digital text reply options. Moreover, the disclosed systems can provide personalized digital text reply options to a client device within an automated interactive digital text thread, bypassing the inefficiency of menu options or protocols utilized to guide clients to terminal information.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.