Invention Grant
- Patent Title: Adaptive task communication based on automated learning and contextual analysis of user activity
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Application No.: US17406973Application Date: 2021-08-19
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Publication No.: US11526818B2Publication Date: 2022-12-13
- Inventor: Jason Thomas Faulkner , Eric Randall Sexauer , Shalendra Chhabra
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
- Current Assignee Address: US WA Redmond
- Agency: Newport IP, LLC
- Agent Scott Y. Shigeta
- Main IPC: G06Q10/06
- IPC: G06Q10/06 ; G06F16/9032 ; G06F16/908 ; G06Q10/10

Abstract:
The techniques disclosed herein improve existing systems by automatically identifying tasks from a number of different types of user activity and providing suggestions for the tasks to one or more selected delivery mechanisms. A system compiles the tasks and pushes each task to a personalized task list of a user. The delivery of each task may be based on any suitable user activity, which may include communication between one or more users or a user's interaction with a particular file or a system. The system can identify timelines, performance parameters, and other related contextual data associated with the task. The system can identify a delivery schedule for the task to optimize the effectiveness of the delivery of the task. The system can also provide smart notifications. When a task conflicts with a person's calendar, the system can resolve scheduling conflicts based on priorities of a calendar event.
Public/Granted literature
- US20220076188A1 ADAPTIVE TASK COMMUNICATION BASED ON AUTOMATED LEARNING AND CONTEXTUAL ANALYSIS OF USER ACTIVITY Public/Granted day:2022-03-10
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