Suggesting follow up questions from user behavior
US10878033B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 1, 2017 |
| Grant date | Dec 29, 2020 |
| Priority date | — |
| Expiry date | Jan 9, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N5/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
An embodiment of the invention may include a method, computer program product and system for generating follow-up questions based on machine learning utilizing a computing device. The embodiment may include receiving an input question from a user. The embodiment may include parsing the received input question to extract input question components. Parsing utilizes natural language processing techniques. The embodiment may include executing trained question component models to predict follow-up question components. The extracted input question components are utilized as inputs to the trained question component models. The embodiment may include combining the predicted follow-up question components to generate one or more follow-up questions. The embodiment may include returning the one or more follow-up questions to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.