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Filtering document search results using contextual metadata

  • US 10,169,342 B1
  • Filed: 03/02/2018
  • Issued: 01/01/2019
  • Est. Priority Date: 06/29/2017
  • Status: Expired due to Fees
First Claim
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1. A computer-implemented method for filtering document search results, the computer-implemented method comprising:

  • receiving contextual data comprising a facial movement associated with an active document, an image of a face of a user reading the active document, a location where the user read the active document, a timestamp indicating when the user read the active document; and

    a timestamp indicating when the user edited the active document, wherein the contextual data is based, at least in part, on physical contexts of the user, wherein the physical contexts include movement of hands, movement of eyes, posture of the user, motion of the user'"'"'s body, location of the user, facial expressions, identities of people proximate the user, and environmental characteristics;

    detecting an emotional response associated with the active document based on the contextual data, wherein the emotional response is detected based, at least in part, on the shape and position of the mouth, nose, eyebrows, and facial lines in the forehead in relation to one another;

    generating a contextual metadata tag based on the contextual data and the detected response to the active document, the contextual metadata tag including a movement tag indicating a movement of a device while the active document was read by the user and a movement of the device while the active document was edited by the user;

    receiving a query comprising a contextual keyword corresponding to the contextual metadata tag;

    filtering search results received in response to the query based on the contextual metadata tag; and

    displaying a list of the filtered search results.

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