Techniques for classifying and recommending software workflows
US11803771B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 14, 2019 |
| Grant date | Oct 31, 2023 |
| Priority date | — |
| Expiry date | Feb 13, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N7/01
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
In various embodiments, a task-based recommendation subsystem automatically recommends workflows for software-based tasks based on a trained machine-learning model that maps different sets of commands to different distributions of weights applied to a set of tasks. In operation, the task-based recommendation subsystem applies a first set of commands associated with a target user to the trained machine-learning model to determine a target distribution of weights applied to the set of tasks. The task-based recommendation subsystem then performs processing operation(s) based on at least two different distributions of weights applied to the set of tasks and the target distribution to determine a training item. Subsequently, the task-based recommendation subsystem generates a recommendation that specifies the training item. Finally, the task-based recommendation subsystem transmits the recommendation to a user to assist the user in performing a particular task.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.