Aspect pre-selection using machine learning
US11144811B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 29, 2017 |
| Grant date | Oct 12, 2021 |
| Priority date | — |
| Expiry date | Jan 16, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0625
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Aspect pre-selection techniques using machine learning are described. In one example, an artificial assistant system is configured to implement a chat bot. A user then engages in a first natural-language conversation. As part of this first natural-language conversation, a communication is generated by the chat bot to prompt the user to specify an aspect of a category that is a subject of a first natural-language conversation and user data is received in response. Data that describes this first natural-language conversation is used to train a model using machine learning. Data, is then be received by the chat bot as part of a second natural-language conversation. This data, from the second natural-language conversation, is processed using the model as part of machine learning to generate the second search query to include the aspect of the category automatically and without user intervention.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.