Patents by Inventor Gordon P. Rios

Gordon P. Rios 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: 11036814
    Abstract: The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query; and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.
    Type: Grant
    Filed: November 16, 2018
    Date of Patent: June 15, 2021
    Assignee: Pinterest, Inc.
    Inventors: Yunshan Lu, Gordon P. Rios, Michael Tanne
  • Publication number: 20190087504
    Abstract: The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query; and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.
    Type: Application
    Filed: November 16, 2018
    Publication date: March 21, 2019
    Inventors: Yunshan Lu, Gordon P. Rios, Michael Tanne
  • Patent number: 10157233
    Abstract: The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query; and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.
    Type: Grant
    Filed: May 23, 2016
    Date of Patent: December 18, 2018
    Assignee: Pinterest, Inc.
    Inventors: Yunshan Lu, Gordon P. Rios, Michael Tanne
  • Publication number: 20160299981
    Abstract: The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query; and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.
    Type: Application
    Filed: May 23, 2016
    Publication date: October 13, 2016
    Applicant: SEARCH ENGINE TECHNOLOGIES, LLC
    Inventors: Yunshan Lu, Gordon P. Rios, Michael Tanne
  • Patent number: 9367606
    Abstract: The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query; and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.
    Type: Grant
    Filed: May 17, 2012
    Date of Patent: June 14, 2016
    Assignee: SEARCH ENGINE TECHNOLOGIES, LLC
    Inventors: Yunshan Lu, Gordon P. Rios, Michael Tanne
  • Patent number: 8185523
    Abstract: The present invention is directed to methods of and systems for ranking results returned by a search engine. A method in accordance with the invention comprises determining a formula having variables and parameters, wherein the formula is for computing a relevance score for a document and a search query, and ranking the document based on the relevance score. Preferably, determining the formula comprises tuning the parameters based on user input. Preferably, the parameters are determined using a machine learning technique, such as one that includes a form of statistical classification.
    Type: Grant
    Filed: March 17, 2006
    Date of Patent: May 22, 2012
    Assignee: Search Engine Technologies, LLC
    Inventors: Yunshan Lu, Gordon P. Rios, Michael Tanne
  • Patent number: 7461063
    Abstract: A document classification system updates the logistic regression parameters of the logistic regression algorithm used to classify the documents, using a coherent gradient method based upon the coherency between the update data regarding the classifications of the documents and the combined data including both the update data and the original data used to generate the original logistic regression parameters. The classification system can be applied to an email filtering system for filtering spam email.
    Type: Grant
    Filed: May 26, 2004
    Date of Patent: December 2, 2008
    Assignee: ProofPoint, Inc.
    Inventor: Gordon P. Rios