Patents by Inventor Stephen Andrew Sims

Stephen Andrew Sims 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).

  • METHODS, SYSTEMS, AND APPARATUSES FOR GENERATING PERSONALIZED CONTENT
    Publication number: 20250133275
    Abstract: Methods, systems, and apparatuses for identifying key moments of a media asset are described herein. Key moments may be identified, for example, based on analyzing data associated with the media asset and user engagement data associated with the media asset. The data associated with the media asset may be provided to a machine learning model configured to determine one or more first segments of the media asset that satisfy a first threshold. The user engagement data may be analyzed to determine one or more second segments of the media asset that satisfy a second threshold. A compilation of segments of the media asset, representing the key moments thereof, may be generated based on the one or more first segments and the one or more second segments.
    Type: Application
    Filed: October 24, 2023
    Publication date: April 24, 2025
    Inventors: Jayesh Sahasi, Stephen Andrew Sims, Jaimini Labhashankar Joshi, Joshua Mark Hornik, Brian Quantz Streit, Jairo Andres Diaz Rodriguez, Mario Andres Martinez Botero
  • Methods, systems, and apparatuses for content recommendations based on user activity
    Patent number: 11962857
    Abstract: Methods, systems, and apparatuses for content recommendations based on user activity data are described herein. An analytics subsystem may receive first activity data. The first activity may be indicative of a plurality of first engagements with a first plurality of media assets. At least one machine learning model may be configured to receive an input of activity data, such as the first activity data, and to determine at least one content recommendation on that basis. The at least one content recommendation may comprise a recommendation for at least one media asset. The at least one media asset may be associated with at least one media asset classification. The analytics subsystem may send the at least one content recommendation.
    Type: Grant
    Filed: December 10, 2021
    Date of Patent: April 16, 2024
    Assignee: ON24, Inc.
    Inventors: Jayesh Sahasi, Jairo Diaz, Brian Streit, Stephen Andrew Sims
  • Methods, Systems, And Apparatuses For Content Recommendations Based On User Activity
    Publication number: 20230188792
    Abstract: Methods, systems, and apparatuses for content recommendations based on user activity data are described herein. An analytics subsystem may receive first activity data. The first activity may be indicative of a plurality of first engagements with a first plurality of media assets. At least one machine learning model may be configured to receive an input of activity data, such as the first activity data, and to determine at least one content recommendation on that basis. The at least one content recommendation may comprise a recommendation for at least one media asset. The at least one media asset may be associated with at least one media asset classification. The analytics subsystem may send the at least one content recommendation.
    Type: Application
    Filed: December 10, 2021
    Publication date: June 15, 2023
    Inventors: Jayesh Sahasi, Jairo Diaz, Brian Streit, Stephen Andrew Sims