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Suggesting action data based on past conditions

A technology of action data and conditions, applied in data processing applications, office automation, machine learning, etc., can solve problems that are prone to human errors and time-consuming

Inactive Publication Date: 2021-01-01
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As such, current applications for creating lists and scheduling / scheduling events, activities, and tasks can be prone to human error
For example, users of these apps may forget to add an item to their to-do list or schedule an important activity or event
Additionally, current techniques for creating lists and scheduling / scheduling events, activities and tasks can be time consuming

Method used

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  • Suggesting action data based on past conditions
  • Suggesting action data based on past conditions
  • Suggesting action data based on past conditions

Examples

Experimental program
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Embodiment Construction

[0013] Aspects of the present disclosure are generally directed to generating action data suggestions based on one or more past conditions. For example, people often have routines and / or patterns in their lives. For example, people tend to create to-do lists and enter events, activities, meetings, tasks, etc. as entries in calendar applications. People also use digital assistant apps like A routine might include actions / activities such as going to the gym at 8am and reading email at 9:30am every Monday, Wednesday, and Friday. Another action / activity may include, for example, going to the grocery store and using an application such as To-Do to create a list of items to buy at the grocery store. In these cases, the system of the present disclosure may receive action data along with one or more conditions (eg, context) surrounding the activities. For example, action data may include any data associated with an action / activity, such as, using the example described herein above...

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PUM

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Abstract

Aspects of the present disclosure relate to systems and methods for suggesting action data based on one or more past conditions. For example, action data and one or more conditions surrounding the action data may be received. One or more action profiles for a user may be developed. Additional action data and an additional one or more conditions surrounding the additional action data may be received. A difference in the one or more action profiles and the additional action data may be identified. One or more suggestions may be generated for the user based on the identified difference in the oneor more action profiles and the additional action data.

Description

Background technique [0001] To-do lists, scheduling events, activities, and tasks have become part of most people's daily lives. Therefore, many people use a variety of software applications to create lists and schedule / calendar events, activities and tasks. However, users of these apps currently need to manually enter to-do lists, items, events, activities, and tasks in their to-do lists. Accordingly, current applications for creating lists and scheduling / scheduling events, activities, and tasks may be prone to human error. For example, users of these apps may forget to add an item to their to-do list or schedule an important activity or event. Additionally, current techniques for creating lists and scheduling / scheduling events, activities, and tasks can be time consuming. Contents of the invention [0002] This Summary is provided to introduce a selection of concepts in a simplified form that are further described below in the Detailed Description. This Summary is not ...

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q10/10
CPCG06Q10/0633G06Q10/109G06N5/048G06N20/00
Inventor B·L·马特耶夫M·S·帕尔
Owner MICROSOFT TECH LICENSING LLC
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