Patents by Inventor Randall J. Calistri-Yeh

Randall J. Calistri-Yeh 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).

  • Publication number: 20160055541
    Abstract: A method and system are disclosed for identifying, quantifying, and acting on user preferences. The preferences are calculated from reported data, observed data, inferred data, or any combination of any or all of these sources. The preferences are then used to make various personalized recommendations to suggest that the user take certain actions such as reading an article, purchasing an item, or performing an activity. The preferences can also be used to choose among various communication choices such as message medium, format, level of detail, time of delivery, or others.
    Type: Application
    Filed: August 13, 2015
    Publication date: February 25, 2016
    Inventor: Randall J. Calistri-Yeh
  • Patent number: 8024331
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: June 2, 2008
    Date of Patent: September 20, 2011
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Publication number: 20080281814
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Application
    Filed: June 2, 2008
    Publication date: November 13, 2008
    Applicant: MANNING & NAPIER INFORMATION SERVICES, LLC
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 7444356
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: April 14, 2004
    Date of Patent: October 28, 2008
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 7406456
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: April 14, 2004
    Date of Patent: July 29, 2008
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 7299247
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: April 14, 2004
    Date of Patent: November 20, 2007
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Publication number: 20040199505
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Application
    Filed: April 14, 2004
    Publication date: October 7, 2004
    Applicant: MANNING & NAPIER INFORMATION SERVICES, LLC
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Publication number: 20040199546
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate, a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Application
    Filed: April 14, 2004
    Publication date: October 7, 2004
    Applicant: MANNING & NAPIER INFORMATION SERVICES, LLC
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Publication number: 20040193414
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Application
    Filed: April 14, 2004
    Publication date: September 30, 2004
    Applicant: MANNING & NAPIER INFORMATION SERVICES, LLC
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 6751621
    Abstract: An apparatus and method are disclosed for producing a semantic representation of information in a semantic space. The information is first represented in a table that stores values which indicate a relationship with predetermined categories. The categories correspond to dimensions in the semantic space. The significance of the information with respect to the predetermined categories is then determined. A trainable semantic vector (TSV) is constructed to provide a semantic representation of the information. The TSV has dimensions equal to the number of predetermined categories and represents the significance of the information relative to each of the predetermined categories. Various types of manipulation and analysis, such as searching, classification, and clustering, can subsequently be performed on a semantic level.
    Type: Grant
    Filed: May 2, 2000
    Date of Patent: June 15, 2004
    Assignee: Manning & Napier Information Services, LLC.
    Inventors: Randall J. Calistri-Yeh, Bo Yuan, George B. Osborne, David L. Snyder
  • Patent number: 6038561
    Abstract: An interactive system for analyzing and displaying information contained in a plurality of documents employing both term-based analysis and conceptual-representation analysis. Particulars of the invention are especially effective for analyzing patent texts, such as patent claims, abstracts and other portions of a patent document.
    Type: Grant
    Filed: September 15, 1997
    Date of Patent: March 14, 2000
    Assignee: Manning & Napier Information Services
    Inventors: David L. Snyder, Randall J. Calistri-Yeh