×

PERSONALIZED WORK PLANNING BASED ON SELF-OPTIMIZING ROLE-BASED CROWD-SOURCED INFORMATION

  • US 20160180279A1
  • Filed: 12/23/2014
  • Published: 06/23/2016
  • Est. Priority Date: 12/23/2014
  • Status: Active Grant
First Claim
Patent Images

1. A system for personalized planning based on crowd-sourcing, the system comprising:

  • at least one processor;

    a non-transitory computer-readable medium configured to store executable instructions that when executed by the at least one processor are configured to implement;

    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 configured to obtain a task from other users having a same role as the user based on the role-based task data, the planning optimizer configured to determine a suggested activity for completing the task based on the task-tracking information,the planning optimizer configured to provide the task list to the user via a user interface.

View all claims
  • 1 Assignment
Timeline View
Assignment View
    ×
    ×