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Monetization of television audience data across muliple screens of a user watching television

  • US 9,258,383 B2
  • Filed: 05/12/2014
  • Issued: 02/09/2016
  • Est. Priority Date: 11/26/2008
  • Status: Active Grant
First Claim
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1. A system comprising:

  • a networked device to;

    generate a preliminary data and a primary data associated with a user; and

    automatically announce a sandbox-reachable service of the networked device to a discovery module;

    a relevancy-matching server to match a targeted data with the primary data based on a relevancy factor associated with the user; and

    a client device to;

    automatically associate with the networked device through a sandboxed application of the client device communicatively coupled to the sandbox-reachable service based on an identification data of at least one of the networked device and the sandbox-reachable service of the networked device, process an embedded object from the relevancy-matching server through the sandboxed application, gather the primary data through at least one of the embedded object and the sandboxed application, and communicate the primary data to the relevancy-matching server through the embedded object;

    wherein the client device is further to;

    constrain an executable environment in a security sandbox, execute the sandboxed application in the executable environment, and automatically establish a communication session between the sandboxed application and the sandbox-reachable service through at least one of a cross-site scripting technique, an appended header, a same origin policy exception, and an other mode of bypassing a number of access controls of the security sandbox,wherein the embedded object comprises at least one of a script, an image, a player, an iframe, and an other external media included in the sandboxed application andwherein the relevancy-matching server is to match the targeted data with the primary data in a manner such that the relevancy-matching server is to search a storage for at least one of a matching item and a related item based on the relevancy factor comprising at least one of a category of the primary data, a behavioral history of the user, a category of the sandboxed application, and an other information associated with the user.

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