Personalized work planning based on self-optimizing role-based crowd-sourced information
US9811791B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 23, 2014 |
| Grant date | Nov 7, 2017 |
| Priority date | — |
| Expiry date | Dec 8, 2035 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q50/01
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
According to a general aspect, a system for personalized planning based on crowd-sourcing includes a data collector configured to collect task-related data specific to a user from multiple different data sources, and a planning optimizer configured to determine a task list providing upcoming tasks to complete based on an analysis of the task-related data in view of role-based task data and task-tracking information. The planning optimizer obtains a task from other users having a same role as the user based on the role-based task data, determines a suggested activity for completing the task based on the task-tracking information, and provides the task list to the user via a user interface.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.