Patents by Inventor Carlos David Argott Hernandez

Carlos David Argott Hernandez 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).

  • Locating relevant content items across multiple disparate content sources
    Patent number: 9996618
    Abstract: Technologies are described herein for locating relevant content items across multiple disparate content sources. Query parameters are received from a user interface for defining a query for searching a number of content sources located on multiple, disparate content servers. A native search is executed on each of the content servers based on the received query parameters, and query statistics and other data regarding content items in the content sources matching the query parameters are received. The query statistics are aggregated across the content servers and presented in the user interface. The presentation of the query statistics may be broken out by each content source, by each query phrase segmented from the query, and the like. In addition, a preview of a number of content items matching the query parameters is presented based on the data received.
    Type: Grant
    Filed: July 1, 2016
    Date of Patent: June 12, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Bradley Stevenson, Adam David Harmetz, Quentin Gary Christensen, Julian Zbogar Smith, Anupama Janardhan, Carlos David Argott Hernandez, Ramanathan Somasundaram, Benjamin Joseph Rinaca, Fan Mao, Graham Lee McMynn, Jessica Anne Alspaugh, Michal Piaseczny, Tudor Baraboi, Ashish Shrikrishna Malgi, Thottam R. Sriram, Zainal Arifin, John D. Fan, Kameshwar Jayaraman
  • Locating relevant content items across multiple disparate content sources
    Patent number: 9817898
    Abstract: Technologies are described herein for locating relevant content items across multiple disparate content sources. Query parameters are received from a user interface for defining a query for searching a number of content sources located on multiple, disparate content servers. A native search is executed on each of the content servers based on the received query parameters, and query statistics and other data regarding content items in the content sources matching the query parameters are received. The query statistics are aggregated across the content servers and presented in the user interface. The presentation of the query statistics may be broken out by each content source, by each query phrase segmented from the query, and the like. In addition, a preview of a number of content items matching the query parameters is presented based on the data received.
    Type: Grant
    Filed: November 14, 2011
    Date of Patent: November 14, 2017
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Bradley Stevenson, Adam David Harmetz, Quentin Gary Christensen, Julian Zbogar Smith, Anupama Janardhan, Carlos David Argott Hernandez, Ramanathan Somasundaram, Benjamin Joseph Rinaca, Fan Mao, Graham Lee McMynn, Jessica Anne Alspaugh, Michal Piaseczny, Tudor Baraboi, Ashish Shrikrishna Malgi, Thottam R. Sriram, Zainal Arifin, John D. Fan, Kameshwar Jayaraman
  • LOCATING RELEVANT CONTENT ITEMS ACROSS MULTIPLE DISPARATE CONTENT SOURCES
    Publication number: 20170032039
    Abstract: Technologies are described herein for locating relevant content items across multiple disparate content sources. Query parameters are received from a user interface for defining a query for searching a number of content sources located on multiple, disparate content servers. A native search is executed on each of the content servers based on the received query parameters, and query statistics and other data regarding content items in the content sources matching the query parameters are received. The query statistics are aggregated across the content servers and presented in the user interface. The presentation of the query statistics may be broken out by each content source, by each query phrase segmented from the query, and the like. In addition, a preview of a number of content items matching the query parameters is presented based on the data received.
    Type: Application
    Filed: July 1, 2016
    Publication date: February 2, 2017
    Inventors: Bradley Stevenson, Adam David Harmetz, Quentin Gary Christensen, Julian Zbogar Smith, Anupama Janardhan, Carlos David Argott Hernandez, Ramanathan Somasundaram, Benjamin Joseph Rinaca, Fan Mao, Graham Lee McMynn, Jessica Anne Alspaugh, Michal Piaseczny, Tudor Baraboi, Ashish Shrikrishna Malgi, Thottam R. Sriram, Zainal Arifin, John D. Fan, Kameshwar Jayaraman
  • LOCATING RELEVANT CONTENT ITEMS ACROSS MULTIPLE DISPARATE CONTENT SOURCES
    Publication number: 20130124552
    Abstract: Technologies are described herein for locating relevant content items across multiple disparate content sources. Query parameters are received from a user interface for defining a query for searching a number of content sources located on multiple, disparate content servers. A native search is executed on each of the content servers based on the received query parameters, and query statistics and other data regarding content items in the content sources matching the query parameters are received. The query statistics are aggregated across the content servers and presented in the user interface. The presentation of the query statistics may be broken out by each content source, by each query phrase segmented from the query, and the like. In addition, a preview of a number of content items matching the query parameters is presented based on the data received.
    Type: Application
    Filed: November 14, 2011
    Publication date: May 16, 2013
    Applicant: Microsoft Corporation
    Inventors: Bradley Stevenson, Adam David Harmetz, Quentin Gary Christensen, Julian Zbogar Smith, Anupama Janardhan, Carlos David Argott Hernandez, Ramanathan Somasundaram, Benjamin Joseph Rinaca, Fan Mao, Graham Lee McMynn, Jessica Anne Alspaugh, Michal Piaseczny, Tudor Baraboi, Ashish Shrikrishna Malgi, Thottam R. Sriram, Zainal Arifin, John D. Fan, Kameshwar Jayaraman