Patents by Inventor Marcin Kadluczka

Marcin Kadluczka 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: 7797344
    Abstract: A method for assigning relative quality scores to a collection of linked documents is presented. The method includes constructing a spring network according to a connectivity graph of a linked database and determining the strength of inter-nodal springs based on the link structure of the network and the displacements on end-nodes. The method may further include computing the displacements of the nodes in a spring network through an iterative process and obtaining the quality scores for documents from the converged displacements of nodes. The method may also include obtaining the relative quality scores for groups of documents. The method may further include assigning topic-specific quality scores to documents in a linked database.
    Type: Grant
    Filed: December 23, 2005
    Date of Patent: September 14, 2010
    Assignee: Become, Inc.
    Inventors: Rohit Kaul, Marcin Kadluczka, Yeogirl Yun, Seong-Gon Kim
  • Publication number: 20060143197
    Abstract: A method for assigning relative quality scores to a collection of linked documents is presented. The method includes constructing a spring network according to a connectivity graph of a linked database and determining the strength of inter-nodal springs based on the link structure of the network and the displacements on end-nodes. The method may further include computing the displacements of the nodes in a spring network through an iterative process and obtaining the quality scores for documents from the converged displacements of nodes. The method may also include obtaining the relative quality scores for groups of documents. The method may further include assigning topic-specific quality scores to documents in a linked database.
    Type: Application
    Filed: December 23, 2005
    Publication date: June 29, 2006
    Inventors: Rohit Kaul, Marcin Kadluczka, Yeogirl Yun, Seong-Gon Kim
  • Publication number: 20060074905
    Abstract: The present invention provides systems and methods of searching web pages relevant to a specific topic based on quality of individual pages. The rank of a page for a keyword may be a combination of analytic rank and editorial rank. The analytic rank of a page may be calculated by combining intrinsic and extrinsic ranks. Intrinsic rank is a measure of relevancy of a page to a given keyword as claimed by an author of the page, while extrinsic rank is a measure of the relevancy of a page on a given keyword as indicated by other pages. The former may be obtained from an analysis of keyword matching in various parts of the page while the latter is obtained from context-sensitive connectivity analysis of the link structure of the entire Internet. Methods are described to solve the self-consistent equation satisfied by the page-weights and site-weights in a very efficient iterative way. The ranking mechanism for multi-word query is also described.
    Type: Application
    Filed: September 16, 2005
    Publication date: April 6, 2006
    Inventors: Yeogirl Yun, Seong-Gon Kim, Robit Kaul, Marcin Kadluczka
  • Publication number: 20060074910
    Abstract: The present invention provides systems and methods of searching web pages relevant to a specific topic based on quality of individual pages. The rank of a page for a keyword may be a combination of analytic rank and editorial rank. The analytic rank of a page may be calculated by combining intrinsic and extrinsic ranks. Intrinsic rank is a measure of relevancy of a page to a given keyword as claimed by an author of the page, while extrinsic rank is a measure of the relevancy of a page on a given keyword as indicated by other pages. The former may be obtained from an analysis of keyword matching in various parts of the page while the latter is obtained from context-sensitive connectivity analysis of the link structure of the entire Internet. Methods are described to solve the self-consistent equation satisfied by the page-weights and site-weights in a very efficient iterative way. The ranking mechanism for multi-word query is also described.
    Type: Application
    Filed: September 16, 2005
    Publication date: April 6, 2006
    Inventors: Yeogirl Yun, Seong-Gon Kim, Rohit Kaul, Marcin Kadluczka