Interpretable user modeling from unstructured user data
US11381651B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | May 29, 2019 |
| Grant date | Jul 5, 2022 |
| Priority date | — |
| Expiry date | Jun 19, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/02
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Methods and systems are provided for generating interpretable user modeling system. The interpretable user modeling system can use an intent neural network to implement one or more tasks. The intent neural network can bridge a semantic gap between log data and human language by leveraging tutorial data to understand user logs in a semantically meaningful way. A memory unit of the intent neural network can capture information from the tutorial data. Such a memory unit can be queried to identify human readable sentences related to actions received by the intent neural network. The human readable sentences can be used to interpret the user log data in a semantically meaningful way.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.