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System and method for verified monetization of commercial campaigns

  • US 10,223,701 B2
  • Filed: 08/06/2009
  • Issued: 03/05/2019
  • Est. Priority Date: 08/06/2009
  • Status: Active Grant
First Claim
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1. A method comprising:

  • assigning, by the computing device, a user to an archetype by;

    initially assigning a reliability value of the user to a default value,accumulating network interactions of the user over a time period,correlating the network interactions with a sensor measurement,increasing the reliability value after the time period expires when the network interactions are correlated with the sensor measurement,decreasing the reliability value after the time period expires when the network interactions are not correlated with the sensor measurement, andassigning the user to an archetype based on the reliability value;

    assigning, by the computing device, a sensor reliability value to a sensor by;

    initially assigning a sensor reliability value to a second default value,accumulating location measurements of the sensor, andadjusting the sensor reliability value based on a correlation between the location measurements of the sensor and other location measurements;

    detecting, by the computing device, the occurrence of a trigger event, the trigger event comprising an action performed by the user that is capable of electronic detection and a level of granularity;

    receiving, by the computing device, current location data associated with the user and the sensor based on a current measurement of the sensor or the user;

    calculating, by the computing device, a current reliability of the current location data based on the archetype and the sensor reliability value;

    determining, by the computing device, that the level of granularity has been satisfied based in part on the location data and based in part on the reliability of the location data; and

    transmitting, by the computing device, the current location data to a requesting device if the reliability of the current location satisfies the level of granularity in the request for the location.

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