Patents by Inventor Chris Cornelius

Chris Cornelius has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Method and system of automatically downloading media content in a preferred network
    Patent number: 10025785
    Abstract: In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.
    Type: Grant
    Filed: December 28, 2015
    Date of Patent: July 17, 2018
    Assignee: Apple Inc.
    Inventors: Chris Cornelius, Dominic James Doran Hughes, Georgios Sofianatos, Gurumurthy D. Ramkumar, Max Delgadillo
  • METHOD AND SYSTEM OF AUTOMATICALLY DOWNLOADING MEDIA CONTENT IN A PREFERRED NETWORK
    Publication number: 20160210285
    Abstract: In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.
    Type: Application
    Filed: December 28, 2015
    Publication date: July 21, 2016
    Inventors: Chris Cornelius, Dominic James Doran Hughes, Georgios Sofianatos, Gurumurthy D. Ramkumar, Max Delgadillo
  • Method and system of automatically downloading media content in a preferred network
    Patent number: 9224105
    Abstract: In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.
    Type: Grant
    Filed: November 4, 2013
    Date of Patent: December 29, 2015
    Assignee: concept.io, Inc.
    Inventors: Chris Cornelius, Dominic James Doran Hughes, Georgios Sofianatos, Gurumurthy D. Ramkumar, Max Delgadillo
  • METHOD AND SYSTEM OF AUTOMATICALLY DOWNLOADING MEDIA CONTENT IN A PREFERRED NETWORK
    Publication number: 20150074022
    Abstract: In one exemplary aspect, a sorted list of scored media content episodes is received with a computing device of a user. Each respective media content episode is scored by an iterative autotuning prediction algorithm, and wherein each element of the sorted list of scored media content episodes comprises a value that represents a likelihood of a user listening to the respective media content episode and a reference to a location of the respective media content episode. A number of bytes of a download iteration for each media content episode is determined based on value that represents a likelihood of the user listening to the respective media content episode and an index of the respective media content episode in the sorted list. It is detected that a mobile device is in the preferred network. The download iteration is implemented for each media content episode when it is detected that the mobile device is in the preferred network.
    Type: Application
    Filed: November 4, 2013
    Publication date: March 12, 2015
    Inventors: Chris Cornelius, Dominic Hughes, Georgios Sofianatos, Gurumurthy D. Ramkumar, Max Delgadillo