Patents by Inventor Nolan Richard Patterson

Nolan Richard Patterson 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: 10394804
    Abstract: A method and system increases Internet traffic to a question and answer customer support system, according to one embodiment. The method and system receive a question, and determine a search engine popularity or searchability of the question, according to one embodiment. If the search engine popularity or searchability of the question is less than a threshold, the question is provided to customer support personnel for reformation, according to one embodiment. The question and answer customer support personnel provide question reformation suggests to the customer support personnel, according to one embodiment.
    Type: Grant
    Filed: October 8, 2015
    Date of Patent: August 27, 2019
    Assignee: Intuit Inc.
    Inventors: Igor A. Podgorny, Matthew Cannon, Warren Bartolome, Nolan Richard Patterson, Bradly Stanton Feeley
  • Patent number: 10242093
    Abstract: A method and system uses a probabilistic topic model to identify topics that are relevant search query terms received by a customer support system from a user, according to one embodiment. The probabilistic topic model identifies topics that are relevant to the search query terms at least partially based on the context around the receipt of the search query terms, according to one embodiment. By identifying relevant topics at least partially based on the context around the receipt of the search query terms, a likelihood of inaccurately identifying a relevant topic is reduced, according to one embodiment.
    Type: Grant
    Filed: October 29, 2015
    Date of Patent: March 26, 2019
    Assignee: Intuit Inc.
    Inventors: Igor A. Podgorny, Warren Bartolome, Nolan Richard Patterson
  • Publication number: 20170124184
    Abstract: A method and system uses a probabilistic topic model to identify topics that are relevant search query terms received by a customer support system from a user, according to one embodiment. The probabilistic topic model identifies topics that are relevant to the search query terms at least partially based on the context around the receipt of the search query terms, according to one embodiment. By identifying relevant topics at least partially based on the context around the receipt of the search query terms, a likelihood of inaccurately identifying a relevant topic is reduced, according to one embodiment.
    Type: Application
    Filed: October 29, 2015
    Publication date: May 4, 2017
    Applicant: INTUIT INC.
    Inventors: Igor A. Podgorny, Warren Bartolome, Nolan Richard Patterson