Digital assistant extension automatic ranking and selection
US10437841B2 · kind B2 · utility
Assignee
Inventor
Key dates
| Filing date | Oct 10, 2016 |
| Grant date | Oct 8, 2019 |
| Priority date | — |
| Expiry date | Jul 17, 2037 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L51/214
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Representative embodiments disclose mechanisms to automatically rank and select extensions triggered in a digital assistant. A sample set of extensions are executed against a set of curated queries in order to extract a set of features and/or statistics. The system trains a machine learning model based on the features and/or statistics to rank and select extensions based on their response to a query. New extension incorporated into the system are executed against a second set of curated queries to obtain a set of extracted features and/or statistics which are saved for use at runtime. At runtime, a query phrase received by the system triggers one or more tasks from extensions. Extracted features for the triggered extensions are combined with stored features/statistics and at least a subset of the results presented to the trained ranking and selection model. The model ranks and selects appropriate tasks which are presented to the user.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.