Patents by Inventor Daniel Egnor

Daniel Egnor 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: 7933890
    Abstract: Web pages of a Website may be processed to improve search results. For example, information likely to pertain to more than just the Web page it is directly associated with may be identified. One or more other, related, Web pages that such information is likely to pertain to is also identified. The identified information is associated with the identified other Web page(s) and this association is saved in a way to affect a search result score of the Web page(s).
    Type: Grant
    Filed: March 31, 2006
    Date of Patent: April 26, 2011
    Assignee: Google Inc.
    Inventors: Daniel Egnor, Paul Haahr, Kevin Lacker, John Lamping, Amitabh K. Singhal, Ke Yang
  • Publication number: 20110022604
    Abstract: A system may identify a first document associated with a geographic location within a geographical area and identify a second document associated with a geographic location outside the geographical area. The system may also assign a first score to the first document based on a first scoring function and assign a second score to the second document based on a second scoring function.
    Type: Application
    Filed: September 29, 2010
    Publication date: January 27, 2011
    Applicant: GOOGLE INC.
    Inventors: Brian O'Clair, Daniel Egnor, Lawrence E. Greenfield
  • Patent number: 7822751
    Abstract: A system may identify a first document associated with a geographic location within a geographical area and identify a second document associated with a geographic location outside the geographical area. The system may also assign a first score to the first document based on a first scoring function and assign a second score to the second document based on a second scoring function.
    Type: Grant
    Filed: May 27, 2005
    Date of Patent: October 26, 2010
    Assignee: Google Inc.
    Inventors: Brian O'Clair, Daniel Egnor, Lawrence E. Greenfield
  • Publication number: 20100250552
    Abstract: A local search engine efficiently indexes documents relevant to a geographical area by indexing, for each document, multiple location identifiers that collectively define an aggregate geographic region. When creating the index, the search engine may determine a set of geographical areas surrounding a geographical area relevant to a document and associate references to the set of geographical areas with the document index.
    Type: Application
    Filed: June 15, 2010
    Publication date: September 30, 2010
    Applicant: GOOGLE INC.
    Inventor: Daniel EGNOR
  • Patent number: 7801897
    Abstract: A local search engine efficiently indexes documents relevant to a geographical area by indexing, for each document, multiple location identifiers that collectively define an aggregate geographic region. When creating the index, the search engine may determine a set of geographical areas surrounding a geographical area relevant to a document and associate references to the set of geographical areas with the document index.
    Type: Grant
    Filed: December 30, 2004
    Date of Patent: September 21, 2010
    Assignee: Google Inc.
    Inventor: Daniel Egnor
  • 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: 7716162
    Abstract: A location classifier generates location information based on textual strings in input text. The location information defines potential geographical relevance of the input text. In determining the location information, the location classifier may receive at least one geo-relevance profile associated with at least one string in the input text, obtain a combined geo-relevance profile for the document from the at least one geo-relevance profile, and determine geographical relevance of the input text based on the combined geo-relevance profile.
    Type: Grant
    Filed: December 30, 2004
    Date of Patent: May 11, 2010
    Assignee: Google Inc.
    Inventor: Daniel Egnor
  • Publication number: 20100076985
    Abstract: A location classifier generates location information based on textual strings in input text. The location information defines potential geographical relevance of the input text. In determining the location information, the location classifier may receive at least one geo-relevance profile associated with at least one string in the input text, obtain a combined geo-relevance profile for the document from the at least one geo-relevance profile, and determine geographical relevance of the input text based on the combined geo-relevance profile.
    Type: Application
    Filed: November 30, 2009
    Publication date: March 25, 2010
    Applicant: GOOGLE INC.
    Inventor: Daniel EGNOR
  • Patent number: 7676745
    Abstract: A document may be segmented based on a visual model of the document. The visual model is determined according to an amount of visual white space or gaps that are in the document. In one implementation, the visual model is used to identify a hierarchical structure of the document, which may then be used to segment the document.
    Type: Grant
    Filed: July 22, 2008
    Date of Patent: March 9, 2010
    Assignee: Google Inc.
    Inventor: Daniel Egnor
  • Publication number: 20090327286
    Abstract: Systems and methods improve search rankings for a search query by using location data associated with queries and documents related to the search query. In one aspect, a search query is received, a location score is determined, a topical score is determined, and an ordering of documents related to the search query is determined based, at least in part, on the location score and the topical score.
    Type: Application
    Filed: August 31, 2009
    Publication date: December 31, 2009
    Applicant: GOOGLE INC.
    Inventors: Xianping Ge, Abhishek Parmar, Amit Singhal, Adam Smith, Daniel Egnor, Elizabeth Hamon
  • Patent number: 7606798
    Abstract: Systems and methods improve search rankings for a search query by using location data associated with queries and documents related to the search query. In one aspect, a search query is received, a location score is determined, a topical score is determined, and an ordering of documents related to the search query is determined based, at least in part, on the location score and the topical score.
    Type: Grant
    Filed: December 31, 2003
    Date of Patent: October 20, 2009
    Assignee: Google Inc.
    Inventors: Xianping Ge, Abhishek Parmar, Amit Singhal, Adam Smith, Daniel Egnor, Elizabeth Hamon
  • Patent number: 7523099
    Abstract: A system determines categories for business listings identified in a list of search results and assigns scores to the categories. The system presents one or more high scoring ones of the categories as one or more category suggestions relating to the list of search results.
    Type: Grant
    Filed: December 30, 2004
    Date of Patent: April 21, 2009
    Assignee: Google Inc.
    Inventors: Daniel Egnor, Elizabeth Hamon Reid
  • Patent number: 7483881
    Abstract: A system receives a search query that includes a set of search terms, determines whether at least one of the search terms corresponds to the name of a geographic area, and determines whether the geographic area corresponds to an unambiguous geographic area when at least one of the search terms corresponds to the name of the geographic area. The system performs a local search, based on one or more of the search terms, to identify documents associated with the geographic area when the geographic area corresponds to an unambiguous geographic area.
    Type: Grant
    Filed: December 30, 2004
    Date of Patent: January 27, 2009
    Assignee: Google Inc.
    Inventors: Daniel Egnor, Lawrence Elias Greenfield
  • Publication number: 20080282151
    Abstract: A document may be segmented based on a visual model of the document. The visual model is determined according to an amount of visual white space or gaps that are in the document. In one implementation, the visual model is used to identify a hierarchical structure of the document, which may then be used to segment the document.
    Type: Application
    Filed: July 22, 2008
    Publication date: November 13, 2008
    Applicant: Google Inc.
    Inventor: Daniel Egnor
  • Patent number: 7421651
    Abstract: A document may be segmented based on a visual model of the document. The visual model is determined according to an amount of visual white space or gaps that are in the document. In one implementation, the visual model is used to identify a hierarchical structure of the document, which may then be used to segment the document.
    Type: Grant
    Filed: December 30, 2004
    Date of Patent: September 2, 2008
    Assignee: Google Inc.
    Inventor: Daniel Egnor
  • Publication number: 20070233808
    Abstract: Web pages of a Website may be processed to improve search results. For example, information likely to pertain to more than just the Web page it is directly associated with may be identified. One or more other, related, Web pages that such information is likely to pertain to is also identified. The identified information is associated with the identified other Web page(s) and this association is saved in a way to affect a search result score of the Web page(s).
    Type: Application
    Filed: March 31, 2006
    Publication date: October 4, 2007
    Inventors: Daniel Egnor, Paul Haahr, Kevin Lacker, John Lamping, Amitabh Singhal, Ke Yang
  • Publication number: 20060271531
    Abstract: A system may identify a first document associated with a geographic location within a geographical area and identify a second document associated with a geographic location outside the geographical area. The system may also assign a first score to the first document based on a first scoring function and assign a second score to the second document based on a second scoring function.
    Type: Application
    Filed: May 27, 2005
    Publication date: November 30, 2006
    Inventors: Brian O'Clair, Daniel Egnor, Lawrence Greenfield
  • 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
  • Publication number: 20060149734
    Abstract: A system receives a search query that includes a set of search terms, determines whether at least one of the search terms corresponds to the name of a geographic area, and determines whether the geographic area corresponds to an unambiguous geographic area when at least one of the search terms corresponds to the name of the geographic area. The system performs a local search, based on one or more of the search terms, to identify documents associated with the geographic area when the geographic area corresponds to an unambiguous geographic area.
    Type: Application
    Filed: December 30, 2004
    Publication date: July 6, 2006
    Inventors: Daniel Egnor, Lawrence Greenfield
  • Publication number: 20060149800
    Abstract: A system determines documents that are associated with a location, identifies a group of signals associated with each of the documents, and determines authoritativeness of the documents for the location based on the signals.
    Type: Application
    Filed: December 30, 2004
    Publication date: July 6, 2006
    Inventors: Daniel Egnor, Geeta Chaudhry