Patents by Inventor Mariem Boujelbene

Mariem Boujelbene 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).

  • Deep learning using activity graph to detect abusive user activity in online networks
    Patent number: 11991197
    Abstract: In an example embodiment, a deep learning algorithm is introduced that operates on a transition matrix formed from user activities in an online network. The transition matrix records the frequencies that particular transitions between paths of user activity have occurred (e.g., the user performed a login activity, which has one path in the network, and then performed a profile view action, which has another path in the network). Each transition matrix corresponds to a different user's activities.
    Type: Grant
    Filed: March 25, 2022
    Date of Patent: May 21, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Yi Wu, Mariem Boujelbene, James R. Verbus, Jason Paul Chang, Beibei Wang, Ting Chen