Patents by Inventor Egon Pasztor

Egon Pasztor 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: 7788293
    Abstract: Structured and/or unstructured data about enterprises are acquired from one or more sources such as commercial data providers, enterprise web sites, and/or directory web sites. Strings are extracted from the unstructured data. The strings contain key, value pairs describing facts about the enterprises. The extracted strings are parsed to normalize the keys and values and place them in a machine-understandable structured representation. Some keys and/or values cannot be normalized. The facts are clustered with the enterprise to which they pertain. Normalized facts from different sources are compared and confidence levels and/or weights are assigned to the facts. These confidence levels and weights are used to select the facts that are displayed on a page for the enterprise in a directory.
    Type: Grant
    Filed: March 1, 2006
    Date of Patent: August 31, 2010
    Assignee: Google Inc.
    Inventors: Egon Pasztor, Daniel Egnor
  • Patent number: 7715531
    Abstract: In one embodiment, a system and method for charting audible choices comprises determining if an option is offered; selecting the option if the option is offered; and saving a result, wherein the result is associated with the selected option.
    Type: Grant
    Filed: June 30, 2005
    Date of Patent: May 11, 2010
    Assignee: Google Inc.
    Inventors: Andrew R. Golding, Egon Pasztor
  • Publication number: 20060200478
    Abstract: Structured and/or unstructured data about enterprises are acquired from one or more sources such as commercial data providers, enterprise web sites, and/or directory web sites. Strings are extracted from the unstructured data. The strings contain key, value pairs describing facts about the enterprises. The extracted strings are parsed to normalize the keys and values and place them in a machine-understandable structured representation. Some keys and/or values cannot be normalized. The facts are clustered with the enterprise to which they pertain. Normalized facts from different sources are compared and confidence levels and/or weights are assigned to the facts. These confidence levels and weights are used to select the facts that are displayed on a page for the enterprise in a directory.
    Type: Application
    Filed: March 1, 2006
    Publication date: September 7, 2006
    Inventors: Egon Pasztor, Daniel Egnor