Patents by Inventor Benjamin John Koonse

Benjamin John Koonse 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 for applying probabilistic topic models to content in a tax environment to improve user satisfaction with a question and answer customer support system
    Patent number: 10268956
    Abstract: A method and system applies a probabilistic topic model to content in a tax environment to improve user satisfaction with a question and answer customer support system, according to one embodiment. The probabilistic topic model may be the Latent Dirichlet allocation algorithm or other implementations of probabilistic topic models, according to various embodiments. The method and system include receiving submission content from a user, according to one embodiment. The method and system include applying a probabilistic topic model to the submission content to determine submission content topics and submission content statistics, according to one embodiment. The method and system include generating and providing customer support content at least partially based on the submission content topics and at least partially based on the submission content statistics, to facilitate use of the question and answer customer support system by the user, according to one embodiment.
    Type: Grant
    Filed: July 31, 2015
    Date of Patent: April 23, 2019
    Assignee: Intuit Inc.
    Inventors: Igor A. Podgorny, Benjamin John Koonse
  • METHOD AND SYSTEM FOR APPLYING PROBABILISTIC TOPIC MODELS TO CONTENT IN A TAX ENVIRONMENT TO IMPROVE USER SATISFACTION WITH A QUESTION AND ANSWER CUSTOMER SUPPORT SYSTEM
    Publication number: 20170032251
    Abstract: A method and system applies a probabilistic topic model to content in a tax environment to improve user satisfaction with a question and answer customer support system, according to one embodiment. The probabilistic topic model may be the Latent Dirichlet allocation algorithm or other implementations of probabilistic topic models, according to various embodiments. The method and system include receiving submission content from a user, according to one embodiment. The method and system include applying a probabilistic topic model to the submission content to determine submission content topics and submission content statistics, according to one embodiment. The method and system include generating and providing customer support content at least partially based on the submission content topics and at least partially based on the submission content statistics, to facilitate use of the question and answer customer support system by the user, according to one embodiment.
    Type: Application
    Filed: July 31, 2015
    Publication date: February 2, 2017
    Applicant: INTUIT INC.
    Inventors: Igor A. Podgorny, Benjamin John Koonse