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Intelligent capture, storage, and retrieval of information for task completion

A task-completing, intelligent technology used in special data processing applications, database indexing, structured data retrieval, etc.

Active Publication Date: 2019-01-04
MICROSOFT TECH LICENSING LLC
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

While this example approach supports the contextual surface of information, it also requires explicit user action to capture the information

Method used

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  • Intelligent capture, storage, and retrieval of information for task completion
  • Intelligent capture, storage, and retrieval of information for task completion
  • Intelligent capture, storage, and retrieval of information for task completion

Examples

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Embodiment Construction

[0015] The following detailed description refers to the accompanying drawings. Wherever possible, the same reference numbers are used in the drawings and the following description to refer to the same or like elements. While aspects of the disclosure may be described, modifications, adaptations, and other implementations are possible. For example, substitutions, additions or modifications may be made to elements shown in the figures, and the methods described herein may be modified by substituting, reordering or adding stages to the disclosed methods. Accordingly, the following detailed description does not limit the present disclosure, but instead the proper scope of the present disclosure is defined by the appended claims. Examples can take the form of a hardware implementation or an entirely software implementation or an implementation combining software and hardware aspects. Therefore, the following detailed description should not be considered as limiting.

[0016] Asp...

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PUM

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Abstract

Intelligent capture, storage, and retrieval of information for task completion are provided. A user can explicitly request to capture information, or user information is implicitly captured from one or more data streams. Semantic understanding of captured information is provided, wherein offline processes are run that analyze captured information to bucket them into a set of pre-defined high valuescenarios. Whenever a capture falls into such scenarios, additional structured information about the capture is extracted. Further, aspects provide for storing and indexing information in a data repository. Users are enabled to explicitly retrieve the stored information using a natural language interface, or stored information can be proactively provided to the user based on context to enable task completion.

Description

Background technique [0001] Computing device users are exposed to a wealth of information, including information that the user may need in order to aid in remembering and to be able to access when wanted or needed. A traditional example method of storing information is the "save" paradigm, eg, where a user stores information in documents such as word processing documents, slide presentation documents, spreadsheets, sticky note documents, mail messages, and the like. Such an approach may be effective, for example, for desktop computer users who store large amounts of information. However, users need to remember where the information is stored in order to access and use saved information. [0002] Additionally, many computer users are moving from a personal computer paradigm to a mobile-only or mobile-first paradigm, and consumption patterns associated with how users consume information are changing. For example, users are increasingly storing pieces of information primarily a...

Claims

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Application Information

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IPC IPC(8): G06F16/22
CPCG06F16/9535G06F16/2465G06F16/9024
Inventor R·维纳科塔D·S·吉尔R·古普塔V·万加拉S·V·泰鲁马莱-阿南旦皮莱
Owner MICROSOFT TECH LICENSING LLC