Patents by Inventor Kelly Carrigan

Kelly Carrigan 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: 10366415
    Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
    Type: Grant
    Filed: October 23, 2017
    Date of Patent: July 30, 2019
    Assignee: Catalina Marketing Corporation
    Inventors: Paul Tang, Jeffrey R. Mount, Kelly Carrigan, Brad Schulz
  • Patent number: 9830616
    Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
    Type: Grant
    Filed: September 20, 2016
    Date of Patent: November 28, 2017
    Assignee: CATALINA MARKETING CORPORATION
    Inventors: Paul Tang, Jeffrey R. Mount, Kelly Carrigan, Brad Schulz
  • Patent number: 9471933
    Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
    Type: Grant
    Filed: July 6, 2015
    Date of Patent: October 18, 2016
    Assignee: CATALINA MARKETING CORPORATION
    Inventors: Paul Tang, Jeffrey R. Mount, Kelly Carrigan, Brad Schulz
  • Publication number: 20160063554
    Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
    Type: Application
    Filed: July 6, 2015
    Publication date: March 3, 2016
    Applicant: CATALINA MARKETING CORPORATION
    Inventors: Paul TANG, Jeffrey R. MOUNT, Kelly CARRIGAN, Brad SCHULZ
  • Patent number: 9076121
    Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
    Type: Grant
    Filed: March 24, 2014
    Date of Patent: July 7, 2015
    Assignee: Catalina Marketing Corporation
    Inventors: Paul Tang, Jeffrey R. Mount, Kelly Carrigan, Brad Schulz
  • Publication number: 20140324641
    Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
    Type: Application
    Filed: March 24, 2014
    Publication date: October 30, 2014
    Applicant: Catalina Marketing Corporation
    Inventors: Paul TANG, Jeffrey R. MOUNT, Kelly CARRIGAN, Brad SCHULZ
  • Publication number: 20140084051
    Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
    Type: Application
    Filed: September 26, 2012
    Publication date: March 27, 2014
    Applicant: CATALINA MARKETING CORPORATION
    Inventors: Paul TANG, Jeffrey R. MOUNT, Kelly CARRIGAN, Brad SCHULZ
  • Patent number: 8678272
    Abstract: A dimensional translator may automatically translate a dimension from an entity to a different dimension of another entity. The dimensional translator may do so by comparing attributes of the input dimension (the dimension to be translated) to attributes of a target data structure. An attribute may include, for example, hierarchy of a data structure, relationships of a data structure, a keyword associated with a data structure, and a data value associated with the data structure. The dimensional translator may automatically determine how a target entity would categorize the item. In particular, a Universal Product Code dimension of an item provided by an entity may be translated into a data structure of a target entity such as a retailer in order to determine how an item identified by the UPC will be categorized by the retailer.
    Type: Grant
    Filed: September 26, 2012
    Date of Patent: March 25, 2014
    Assignee: Catalina Marketing Corporation
    Inventors: Paul Tang, Jeffrey R. Mount, Kelly Carrigan, Brad Schulz