Patents by Inventor Matthew Allen Strong Ross

Matthew Allen Strong Ross 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).

  • SEMANTIC CONTENT CLUSTERING BASED ON USER INTERACTIONS FOR CONTENT MODERATION
    Publication number: 20230281225
    Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Topic Engine. The Topic Engine captures a plurality of content identifier sequences. Each respective sequence represents an order at which a corresponding user account accessed content. The Topic Engine generates a plurality of clusters. Each cluster is associated with respective content identifiers appearing within a proximity to each other across the plurality of content identifier sequences of different user accounts. The Topic Engine obtains one or more sample content identifiers from at least one cluster via sampling the cluster. The Topic Engine extracts keywords from content represented by the one or more sampled content identifiers. The Topic Engine identifies a topic for the cluster based on the one or more extracted keywords.
    Type: Application
    Filed: March 3, 2023
    Publication date: September 7, 2023
    Inventors: Matthew Allen Strong Ross, Monique Alves Cruz
  • Semantic content clustering based on user interactions
    Patent number: 11599728
    Abstract: Various embodiments of an apparatus, methods, systems and computer program products described herein are directed to a Topic Engine. The Topic Engine captures a plurality of content identifier sequences. Each respective sequence represents an order at which a corresponding user account accessed content. The Topic Engine generates a plurality of clusters. Each cluster is associated with respective content identifiers appearing within a proximity to each other across the plurality of content identifier sequences of different user accounts. The Topic Engine obtains one or more sample content identifiers from at least one cluster via sampling the cluster. The Topic Engine extracts keywords from content represented by the one or more sampled content identifiers. The Topic Engine identifies a topic for the cluster based on the one or more extracted keywords.
    Type: Grant
    Filed: March 7, 2022
    Date of Patent: March 7, 2023
    Assignee: Scribd, Inc.
    Inventors: Matthew Allen Strong Ross, Monique Alves Cruz