Patents by Inventor William Jeffrey HARDING

William Jeffrey HARDING 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).

  • Analytics-driven recommendation engine
    Patent number: 11574026
    Abstract: A device may transmit questionnaires to a set of client devices, wherein the questionnaires include a set of questions that relate to an internal entity experience attribute and/or an external entity experience attribute. The device may receive a set of questionnaire responses and correlate the set of questionnaire responses with contextual data relating to an entity. The device may process, using a machine learning model trained based on data relating to one or more other entities, the set of questionnaire responses and the contextual data to identify a set of features and a set of feature ranks. The device may select a subset of features based on the set of feature ranks and a set of influence thresholds. The device may generate a set of recommendations associated with the subset of features and communicate with one or more other devices to implement the set of recommendations.
    Type: Grant
    Filed: July 16, 2020
    Date of Patent: February 7, 2023
    Assignee: Avanade Holdings LLC
    Inventors: Michele D. Bennett, Mark J. Garavaglia, Michael P. Isaac, Stephanie Mills, William Jeffrey Harding, Anthony Joseph Molisani, William Scott Powell, Robert James Boisjolie
  • ANALYTICS-DRIVEN RECOMMENDATION ENGINE
    Publication number: 20210019357
    Abstract: A device may transmit questionnaires to a set of client devices, wherein the questionnaires include a set of questions that relate to an internal entity experience attribute and/or an external entity experience attribute. The device may receive a set of questionnaire responses and correlate the set of questionnaire responses with contextual data relating to an entity. The device may process, using a machine learning model trained based on data relating to one or more other entities, the set of questionnaire responses and the contextual data to identify a set of features and a set of feature ranks. The device may select a subset of features based on the set of feature ranks and a set of influence thresholds. The device may generate a set of recommendations associated with the subset of features and communicate with one or more other devices to implement the set of recommendations.
    Type: Application
    Filed: July 16, 2020
    Publication date: January 21, 2021
    Inventors: Michele D. BENNETT, Mark J. GARAVAGLIA, Michael P. ISAAC, Stephanie MILLS, William Jeffrey HARDING, Anthony Joseph MOLISANI, William Scott POWELL, Robert James BOISJOLIE