Patents by Inventor Steven Paul Breyer

Steven Paul Breyer 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: 11481403
    Abstract: Aspects extend to methods, systems, and computer program products for ranking contextual metadata to generate relevant data insights. Aspects of the invention can be used to enhance data analytics by automatically deriving relevance signals used to generate insights closely related to the context in which a user is exploring or analyzing data. User experiences can include embedded data visualizations, search engines, and natural language querying systems to help users understand their data more effectively. By utilizing metrics on the relevance information, insights related and/or relevant to the context in which the user is analyzing data can be created. Thus, relevance information can define a scope for a variety of automatically generated insights of data. Insight generation can be based on computed relevance signals that target areas interesting to users.
    Type: Grant
    Filed: April 3, 2020
    Date of Patent: October 25, 2022
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Saliha Azzam, Steven Paul Breyer, Eeshan Manish Shah, Youssef El Fassy Fihry, Ankur Satyendrakumar Sharma, Manal Hussein Alassaf, Xiang He, Vikram Rajasekaran
  • Publication number: 20200301933
    Abstract: Aspects extend to methods, systems, and computer program products for ranking contextual metadata to generate relevant data insights. Aspects of the invention can be used to enhance data analytics by automatically deriving relevance signals used to generate insights closely related to the context in which a user is exploring or analyzing data. User experiences can include embedded data visualizations, search engines, and natural language querying systems to help users understand their data more effectively. By utilizing metrics on the relevance information, insights related and/or relevant to the context in which the user is analyzing data can be created. Thus, relevance information can define a scope for a variety of automatically generated insights of data. Insight generation can be based on computed relevance signals that target areas interesting to users.
    Type: Application
    Filed: April 3, 2020
    Publication date: September 24, 2020
    Inventors: Saliha Azzam, Steven Paul Breyer, Eeshan Manish Shah, Youssef El Fassy Fihry, Ankur Satyendrakumar Sharma, Manal Hussein Alassaf, Xiang He, Vikram Rajasekaran
  • Patent number: 10650007
    Abstract: Aspects extend to methods, systems, and computer program products for ranking contextual metadata to generate relevant data insights. Aspects of the invention can be used to enhance data analytics by automatically deriving relevance signals used to generate insights closely related to the context in which a user is exploring or analyzing data. User experiences can include embedded data visualizations, search engines, and natural language querying systems to help users understand their data more effectively. By utilizing metrics on the relevance information, insights related and/or relevant to the context in which the user is analyzing data can be created. Thus, relevance information can define a scope for a variety of automatically generated insights of data. Insight generation can be based on computed relevance signals that target areas interesting to users.
    Type: Grant
    Filed: June 16, 2016
    Date of Patent: May 12, 2020
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Saliha Azzam, Steven Paul Breyer, Eeshan Manish Shah, Youssef El Fassy Fihry, Ankur Satyendrakumar Sharma, Manal Hussein Alassaf, Xiang He, Vikram Rajasekaran
  • Patent number: 10140344
    Abstract: Analyzing data. A method includes obtaining a set of a plurality of data entities and relationships. The method further includes subdividing the set of a plurality of data entities and relationships into a plurality of composite collections of data entities and relationships. Each composite collection within the plurality of composite collections disambiguates the composite collection, within a relationship scope, from ambiguities in the set of a plurality of data entities and relationships. The method further includes providing one or more of the plurality of composite collections of data entities and relationships to a data mining engine. Each composite collection of data entities and relationships is provided as a separate unit to the data mining engine.
    Type: Grant
    Filed: January 13, 2016
    Date of Patent: November 27, 2018
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Saliha Azzam, Youssef El Fassy Fihry, Yuva Priya Manoharan, Steven Paul Breyer
  • Publication number: 20170308536
    Abstract: Aspects extend to methods, systems, and computer program products for ranking contextual metadata to generate relevant data insights. Aspects of the invention can be used to enhance data analytics by automatically deriving relevance signals used to generate insights closely related to the context in which a user is exploring or analyzing data. User experiences can include embedded data visualizations, search engines, and natural language querying systems to help users understand their data more effectively. By utilizing metrics on the relevance information, insights related and/or relevant to the context in which the user is analyzing data can be created. Thus, relevance information can define a scope for a variety of automatically generated insights of data. Insight generation can be based on computed relevance signals that target areas interesting to users.
    Type: Application
    Filed: June 16, 2016
    Publication date: October 26, 2017
    Inventors: Saliha Azzam, Steven Paul Breyer, Eeshan Manish Shah, Youssef El Fassy Fihry, Ankur Satyendrakumar Sharma, Manal Hussein Alassaf, Xiang He, Vikram Rajasekaran
  • Publication number: 20170199913
    Abstract: Analyzing data. A method includes obtaining a set of a plurality of data entities and relationships. The method further includes subdividing the set of a plurality of data entities and relationships into a plurality of composite collections of data entities and relationships. Each composite collection within the plurality of composite collections disambiguates the composite collection, within a relationship scope, from ambiguities in the set of a plurality of data entities and relationships. The method further includes providing one or more of the plurality of composite collections of data entities and relationships to a data mining engine. Each composite collection of data entities and relationships is provided as a separate unit to the data mining engine.
    Type: Application
    Filed: January 13, 2016
    Publication date: July 13, 2017
    Inventors: Saliha Azzam, Youssef El Fassy Fihry, Yuva Priya Manoharan, Steven Paul Breyer
  • Patent number: 7478414
    Abstract: Described are methods and apparatus that allow viewers to access timely data showing what other viewers are watching at (or near) a given moment. Thus, for example, a viewer could tune in, find out which ten programs currently being broadcast are most popular, and then select from among these programs. In one embodiment, the data is displayed with links to those popular programs so viewers can easily tune to listed programs. In another embodiment, the viewer can identify a group of friends and find out what those friends are watching. The viewer could then tune into one of the programs his or her friends are watching, and so be prepared to discuss that program later.
    Type: Grant
    Filed: May 8, 2000
    Date of Patent: January 13, 2009
    Assignee: Microsoft Corporation
    Inventors: Sharon F. Glusker, Stuart Ozer, Steven Paul Breyer