Predicting user preferences and requirements for cloud migration
US11023530B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Feb 13, 2019 |
| Grant date | Jun 1, 2021 |
| Priority date | — |
| Expiry date | Jul 19, 2039 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L2015/225
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Systems and methods for prioritizing interview questions, including predicting answers to questions in a candidate question set using a neural network model, and generating a ranking for each of the questions in the candidate question set by determining answer confidence, completeness, and ambiguity for each of the answers, and incorporating user preferences using a personalized preference matrix. A top ranked question is automatically selected and presented to the user, and the personalized preference matrix is iteratively adjusted for subsequent ranking of questions based on an answer to the top ranked question by the user to reduce computational resources expended.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.