Patents by Inventor Gregory Scott Melander

Gregory Scott Melander 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).

  • Identifying and recommending experts using shared posts and interactions
    Patent number: 9953087
    Abstract: A topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user's topic input and/or text in the topic feed that the followers interact with.
    Type: Grant
    Filed: November 25, 2015
    Date of Patent: April 24, 2018
    Assignee: Mircosoft Technology Licensing, LLC
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • IDENTIFYING AND RECOMMENDING EXPERTS USING SHARED POSTS AND INTERACTIONS
    Publication number: 20160092586
    Abstract: A topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user's topic input and/or text in the topic feed that the followers interact with.
    Type: Application
    Filed: November 25, 2015
    Publication date: March 31, 2016
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • Identifying and recommending experts using shared posts and interactions
    Patent number: 9230031
    Abstract: A topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user's topic input and/or text in the topic feed that the followers interact with.
    Type: Grant
    Filed: August 28, 2013
    Date of Patent: January 5, 2016
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • Sharing public search queries and interactions
    Patent number: 8983924
    Abstract: When a user enters an information retrieval query, a topic feed generator automatically generates a topic feed for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. A feed distributor component automatically distributes the topic feed, which includes the query, to the identified recipients. A search component executes the search and returns results, corresponding to the query, to the user.
    Type: Grant
    Filed: May 12, 2011
    Date of Patent: March 17, 2015
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • IDENTIFYING AND RECOMMENDING EXPERTS USING SHARED POSTS AND INTERACTIONS
    Publication number: 20140006372
    Abstract: A topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of a topic input in the topic feed. The topic feed is distributed and includes the topic input. Experts in subject matter can be identified based on the user's topic input and/or text in the topic feed that the followers interact with.
    Type: Application
    Filed: August 28, 2013
    Publication date: January 2, 2014
    Applicant: Microsoft Corporation
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • Identifying and recommending experts using shared queries and interactions
    Patent number: 8549011
    Abstract: When a user enters an information retrieval query, a topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. Experts in subject matter can be identified based on the user's queries and other text in the topic feed that the followers interact with.
    Type: Grant
    Filed: June 3, 2011
    Date of Patent: October 1, 2013
    Assignee: Microsoft Corporation
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • FACILITATING PERSONAL AUDIO PRODUCTIONS
    Publication number: 20130178961
    Abstract: Techniques for facilitating personal audio productions, such as verbalized recordings of stories. One representative technique includes a computer-implemented method, including presenting recording prompts each suggestive of a response topic. Spoken audio segments are stored in response to respective ones of the recording prompts. The spoken audio segments may thereafter be assembled into a unitary audio file for transmission.
    Type: Application
    Filed: January 5, 2012
    Publication date: July 11, 2013
    Applicant: MICROSOFT CORPORATION
    Inventors: Anh Q. Ly, William Lawrence Portnoy, Richard Daniel Marshall, Gregory Scott Melander
  • Interest tracking using shared search queries and interactions
    Patent number: 8438165
    Abstract: When a user enters an information retrieval query, topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. The user's interests are tracked based on text in the user's queries and other text in the topic feed that the user interacts with.
    Type: Grant
    Filed: May 12, 2011
    Date of Patent: May 7, 2013
    Assignee: Microsoft Corporation
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • SHARING PUBLIC SEARCH QUERIES AND INTERACTIONS
    Publication number: 20120290549
    Abstract: When a user enters an information retrieval query, a topic feed generator automatically generates a topic feed for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. A feed distributor component automatically distributes the topic feed, which includes the query, to the identified recipients. A search component executes the search and returns results, corresponding to the query, to the user.
    Type: Application
    Filed: May 12, 2011
    Publication date: November 15, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • IDENTIFYING AND RECOMMENDING EXPERTS USING SHARED QUERIES AND INTERACTIONS
    Publication number: 20120290605
    Abstract: When a user enters an information retrieval query, a topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. Experts in subject matter can be identified based on the user's queries and other text in the topic feed that the followers interact with.
    Type: Application
    Filed: June 3, 2011
    Publication date: November 15, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • INTEREST TRACKING USING SHARED SEARCH QUERIES AND INTERACTIONS
    Publication number: 20120290603
    Abstract: When a user enters an information retrieval query, topic feed is generated for publication or distribution to a set of followers or recipients who have elected to receive the topic feed from the user or based on the subject matter content of the query. The topic feed is distributed and includes the query. The user's interests are tracked based on text in the user's queries and other text in the topic feed that the user interacts with.
    Type: Application
    Filed: May 12, 2011
    Publication date: November 15, 2012
    Applicant: MICROSOFT CORPORATION
    Inventors: Steven Ickman, Thomas Matthew Laird-McConnell, William Lawrence Portnoy, Christopher McConnell, Lili Cheng, David Arthur Raskino, Gregory Scott Melander
  • Display screen with icon
    Patent number: D747328
    Type: Grant
    Filed: February 11, 2014
    Date of Patent: January 12, 2016
    Assignee: Microsoft Corporation
    Inventors: Scott Kenneth Erickson, Benjamin Hermel, Daniel Martin Saimo, Robert Scott Dietz, Gregory Scott Melander, Jeffery J. Boettcher, Michael John Bray
  • Display screen with icon
    Patent number: D749603
    Type: Grant
    Filed: February 11, 2014
    Date of Patent: February 16, 2016
    Assignee: Microsoft Corporation
    Inventors: Daniel Martin Saimo, Robert Scott Dietz, Scott Kenneth Erickson, Gregory Scott Melander, Jeffery J. Boettcher, Michael John Bray