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USING INDIVIDUALS PREDICTED TYPE TO AID IN CONTENT SELECTION

  • US 20140214873A1
  • Filed: 11/17/2013
  • Published: 07/31/2014
  • Est. Priority Date: 02/16/2007
  • Status: Abandoned Application
First Claim
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1. A computer-system-implemented method, the computer system having at least one programmed processor to implement the method, the method comprising:

  • continuously collecting data components with respect to an individual from a wearable sensor device; and

    collecting another set of data components with respect to the individual from a source separate from the wearable device;

    the computer system—

    (i) assembling a data structure for the individual that includes at least one component from the collected data components from the wearable sensor device and at least one of said another set of data components;

    (ii) determining a type for the individual based on at least one of a match and a similarity between the data structure for the individual and data components for at least one other individual;

    (iii) determining the context of the individual based on at least one of data from the wearable sensor device and data from a contextual sensor, wherein the context is a life-cycle stage; and

    (iv) providing an input to a content selection process based on the determined type and context.

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