Modeling an action completion conversation using a knowledge graph
US10909441B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Jun 19, 2017 |
| Grant date | Feb 2, 2021 |
| Priority date | — |
| Expiry date | Sep 17, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The technology described herein allows an interactive program to leverage a knowledge graph to maximize the likelihood of successfully understanding the user's query and at the same time minimize the number of turns taken to understand the user. A goal of the technology described herein is to formulate response queries that have a probability of completing the user's requested task accurately while issuing the fewest number of response queries to the user before determining the intended task. In order to accomplish this, the technology combines a reinforced learning mechanism with a knowledge-graph simulation score to determine the optimal response query.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.