Patents by Inventor Derrick L. Connell

Derrick L. Connell 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: 20170046356
    Abstract: Systems, methods, and computer-readable storage media for providing task-oriented query-completion suggestions are provided. A portion of a search query is received, for instance, via a query-input region or search box presented in association with a general web search domain. As the portion of the search query is received, it is determined that the received search query portion is suggestive of a task-oriented user intent. Also determined are query-completion suggestions that are associated with the task-oriented user intent of which the search query portion is suggestive. The determined query-completion suggestions are then provided to the user. As query-completion suggestions are surfaced with input of short character sequences that are associated with task-oriented user intents, users can quickly be provided the relevant, rich content for completing their intended tasks.
    Type: Application
    Filed: July 14, 2016
    Publication date: February 16, 2017
    Inventors: DANIEL MARANTZ, BRIAN WHALEN MACDONALD, JEFFREY R. KELLERAN, DERRICK L. CONNELL, SAMIR SHIRAZ PRADHAN, SANAZ AHARI
  • Patent number: 9405856
    Abstract: Systems, methods, and computer-readable storage media for providing task-oriented query-completion suggestions are provided. A portion of a search query is received, for instance, via a query-input region or search box presented in association with a general web search domain. As the portion of the search query is received, it is determined that the received search query portion is suggestive of a task-oriented user intent. Also determined are query-completion suggestions that are associated with the task-oriented user intent of which the search query portion is suggestive. The determined query-completion suggestions are then provided to the user. As query-completion suggestions are surfaced with input of short character sequences that are associated with task-oriented user intents, users can quickly be provided the relevant, rich content for completing their intended tasks.
    Type: Grant
    Filed: December 30, 2011
    Date of Patent: August 2, 2016
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Daniel Marantz, Brian Whalen MacDonald, Jeffrey R. Kelleran, Derrick L. Connell, Samir Shiraz Pradhan, Sanaz Ahari
  • Patent number: 8626784
    Abstract: Computer-readable media and methods for model-based searching to provide search results of relevance to a search topic are provided. A model describing a search framework for generating a plurality of search queries is provided. A number of search topics are identified and attributes are assigned to each search topic. Attribute data elements and values are provided to describe each to the assigned attributes for each search topic. The attributes inform the search framework in order to compile a plurality of search queries for the search topic. A search term is received from a user and a corresponding search topic is identified. The plurality of search queries are executed to obtain search results for the corresponding search topic. The search queries may be pre-executed and the search results cached in a computer memory for later retrieval. The search results are organized based on the model and are presented to the user.
    Type: Grant
    Filed: June 16, 2009
    Date of Patent: January 7, 2014
    Assignee: Microsoft Corporation
    Inventors: Scott J. Beaudreau, Derrick L. Connell, James P. Dierkes, Jr., Brian MacDonald, Brian Scott Otto
  • Publication number: 20130173650
    Abstract: Systems, methods, and computer-readable storage media for providing task-oriented query-completion suggestions are provided. A portion of a search query is received, for instance, via a query-input region or search box presented in association with a general web search domain. As the portion of the search query is received, it is determined that the received search query portion is suggestive of a task-oriented user intent. Also determined are query-completion suggestions that are associated with the task-oriented user intent of which the search query portion is suggestive. The determined query-completion suggestions are then provided to the user. As query-completion suggestions are surfaced with input of short character sequences that are associated with task-oriented user intents, users can quickly be provided the relevant, rich content for completing their intended tasks.
    Type: Application
    Filed: December 30, 2011
    Publication date: July 4, 2013
    Applicant: MICROSOFT CORPORATION
    Inventors: DANIEL MARANTZ, BRIAN WHALEN MACDONALD, JEFFREY R. KELLERAN, DERRICK L. CONNELL, SAMIR SHIRAZ PRADHAN, SANAZ AHARI
  • Publication number: 20100287175
    Abstract: Computer-readable media and methods for model-based searching to provide search results of relevance to a search topic are provided. A model describing a search framework for generating a plurality of search queries is provided. A number of search topics are identified and attributes are assigned to each search topic. Attribute data elements and values are provided to describe each to the assigned attributes for each search topic. The attributes inform the search framework in order to compile a plurality of search queries for the search topic. A search term is received from a user and a corresponding search topic is identified. The plurality of search queries are executed to obtain search results for the corresponding search topic. The search queries may be pre-executed and the search results cached in a computer memory for later retrieval. The search results are organized based on the model and are presented to the user.
    Type: Application
    Filed: June 16, 2009
    Publication date: November 11, 2010
    Applicant: MICROSOFT CORPORATION
    Inventors: Scott J. Beaudreau, Derrick L. Connell, James P. Dierkes, JR., Brian MacDonald, Brian Scott Otto