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Context Aware Chat History Assistance Using Machine-Learned Models

  • US 20190034483A1
  • Filed: 06/12/2017
  • Published: 01/31/2019
  • Est. Priority Date: 06/12/2017
  • Status: Active Grant
First Claim
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1. A mobile computing device, comprising:

  • at least one processor;

    a display screen;

    a machine-learned context determination model, wherein the context determination model has been trained to receive one or more portions of device data from one or more input sources accessible by the mobile computing device and determine a current user context indicative of one or more activities in which a user of the mobile computing device is currently engaged;

    at least one tangible, non-transitory computer-readable medium that stores instructions that, when executed by the at least one processor, cause the mobile computing device to perform operations, the operations comprising;

    obtaining a first set of one or more portions of device data from one or more input sources accessible by the mobile computing device;

    inputting the first set of one or more portions of device data into the machine-learned context determination model;

    receiving, as an output of the machine-learned context determination model, a determined user context;

    determining one or more portions of text from one or more applications of the mobile computing device that have an assigned user context that matches the determined user context; and

    providing the one or more portions of text for display on the display screen of the mobile computing device.

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