Patents by Inventor Andrew Crimmins

Andrew Crimmins 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).

  • Patent number: 11017359
    Abstract: Embodiments include techniques for determining the validity of service recommendations, where the techniques include receiving a service provider recommendation for a device from a service provider, and receiving device inputs and service provider inputs associated with the device. The techniques also include performing an input analysis on the device inputs to determine a predicted recommendation, and determining a trust level score for the service provider based at least in part on the service provider inputs, and comparing the service provider recommendation and the predicted recommendation. Techniques include performing, based at least in part on the trust level score, a value analysis and a severity analysis, and generating a recommended action based at least in part on the value analysis and the severity analysis.
    Type: Grant
    Filed: September 27, 2017
    Date of Patent: May 25, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Schayne Bellrose, Pasquale A. Catalano, Jerry Chuaypradit, Andrew Crimmins, Preston Lane, Juan Merchan, Rorie Paul Reyes
  • Patent number: 11010725
    Abstract: Embodiments include techniques for determining the validity of service recommendations, where the techniques include receiving a service provider recommendation for a device from a service provider, and receiving device inputs and service provider inputs associated with the device. The techniques also include performing an input analysis on the device inputs to determine a predicted recommendation, and determining a trust level score for the service provider based at least in part on the service provider inputs, and comparing the service provider recommendation and the predicted recommendation. Techniques include performing, based at least in part on the trust level score, a value analysis and a severity analysis, and generating a recommended action based at least in part on the value analysis and the severity analysis.
    Type: Grant
    Filed: November 7, 2017
    Date of Patent: May 18, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Schayne Bellrose, Pasquale A. Catalano, Jerry Chuaypradit, Andrew Crimmins, Preston Lane, Juan Merchan, Rorie Paul Reyes
  • Publication number: 20190095874
    Abstract: Embodiments include techniques for determining the validity of service recommendations, where the techniques include receiving a service provider recommendation for a device from a service provider, and receiving device inputs and service provider inputs associated with the device. The techniques also include performing an input analysis on the device inputs to determine a predicted recommendation, and determining a trust level score for the service provider based at least in part on the service provider inputs, and comparing the service provider recommendation and the predicted recommendation. Techniques include performing, based at least in part on the trust level score, a value analysis and a severity analysis, and generating a recommended action based at least in part on the value analysis and the severity analysis.
    Type: Application
    Filed: November 7, 2017
    Publication date: March 28, 2019
    Inventors: Schayne Bellrose, Pasquale A. Catalano, Jerry Chuaypradit, Andrew Crimmins, Preston Lane, Juan Merchan, Rorie Paul Reyes
  • Publication number: 20190095873
    Abstract: Embodiments include techniques for determining the validity of service recommendations, where the techniques include receiving a service provider recommendation for a device from a service provider, and receiving device inputs and service provider inputs associated with the device. The techniques also include performing an input analysis on the device inputs to determine a predicted recommendation, and determining a trust level score for the service provider based at least in part on the service provider inputs, and comparing the service provider recommendation and the predicted recommendation. Techniques include performing, based at least in part on the trust level score, a value analysis and a severity analysis, and generating a recommended action based at least in part on the value analysis and the severity analysis.
    Type: Application
    Filed: September 27, 2017
    Publication date: March 28, 2019
    Inventors: Schayne Bellrose, Pasquale A. Catalano, Jerry Chuaypradit, Andrew Crimmins, Preston Lane, Juan Merchan, Rorie Paul Reyes