Patents by Inventor Eytan Kabilou

Eytan Kabilou 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).

  • Machine learning system, method, and computer program for household marketing segmentation
    Patent number: 11704683
    Abstract: As described herein, a machine learning system, method, and computer program provide marketing segmentation of residential spaces. In use, network usage data is collected from each residential network router of a plurality of residential network routers operating in a different residential space of a plurality of residential spaces. Additionally, the network usage data is processed by a machine learning algorithm to segment the plurality of residential spaces into a plurality of segments. Further, the plurality of segments are output.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: July 18, 2023
    Assignee: AMDOCS DEVELOPMENT LIMITED
    Inventors: Gil Rosen, Vivi Miranda, Gilli Shama, Amir Lapid, Eytan Kabilou, Ilan Levy
  • Machine learning system, method, and computer program for inferring user presence in a residential space
    Patent number: 11605027
    Abstract: As described herein, a machine learning system, method, and computer program are provided for inferring user presence in a residential space. In use, network usage data is collected from a residential network router operating in a residential space. Additionally, the network usage data is processed by a machine learning algorithm to infer whether a user is present in the residential space. Further, the inference is output for performing one or more related actions.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: March 14, 2023
    Assignee: AMDOCS DEVELOPMENT LIMITED
    Inventors: Gil Rosen, Vivi Miranda, Gilli Shama, Amir Lapid, Eytan Kabilou, Ilan Levy
  • System, method, and computer program for generating insights from home network router data
    Patent number: 11563858
    Abstract: As described herein, a system, method, and computer program are provided for generating insights from home network router data. In use, network usage/connection data is collected from a home network router operating in a residential space. Additionally, the network usage/connection data is processed to generate insights for the network usage/connection data. Further, the insights are output for display to one or more users.
    Type: Grant
    Filed: July 9, 2020
    Date of Patent: January 24, 2023
    Assignee: AMDOCS DEVELOPMENT LIMITED
    Inventors: Gil Rosen, Eytan Kabilou, Amir Lapid, Vivi Miranda, Ilan Levy, Gilli Shama
  • MACHINE LEARNING SYSTEM, METHOD, AND COMPUTER PROGRAM FOR INFERRING USER PRESENCE IN A RESIDENTIAL SPACE
    Publication number: 20220012630
    Abstract: As described herein, a machine learning system, method, and computer program are provided for inferring user presence in a residential space. In use, network usage data is collected from a residential network router operating in a residential space. Additionally, the network usage data is processed by a machine learning algorithm to infer whether a user is present in the residential space. Further, the inference is output for performing one or more related actions.
    Type: Application
    Filed: July 9, 2020
    Publication date: January 13, 2022
    Inventors: Gil Rosen, Vivi Miranda, Gilli Shama, Amir Lapid, Eytan Kabilou, Ilan Levy
  • MACHINE LEARNING SYSTEM, METHOD, AND COMPUTER PROGRAM FOR MANAGING GUEST NETWORK ACCESS IN A RESIDENTIAL SPACE
    Publication number: 20220012631
    Abstract: As described herein, a machine learning system, method, and computer program are provided for managing guest network access in a residential space. In use, network usage data is collected from a residential network router operating in a residential space. Additionally, a machine learning algorithm processes the network usage data to classify a user device connected to the residential network router as being operated by a guest of the residential space. Further, the classification is output for performing one or more related actions.
    Type: Application
    Filed: July 9, 2020
    Publication date: January 13, 2022
    Inventors: Gil Rosen, Vivi Miranda, Gilli Shama, Amir Lapid, Eytan Kabilou, Ilan Levy