Patents by Inventor Frolov Volodymyr

Frolov Volodymyr 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).

  • Systems and methods for evaluating models that generate recommendations
    Patent number: 11659247
    Abstract: A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.
    Type: Grant
    Filed: June 8, 2022
    Date of Patent: May 23, 2023
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Haripriya Srinivasaraghavan, Rajeshwar Makam, Frolov Volodymyr, Pratik Sarkar, Ankit Naidu, Yevhen Rutskyi
  • SYSTEMS AND METHODS FOR EVALUATING MODELS THAT GENERATE RECOMMENDATIONS
    Publication number: 20220303626
    Abstract: A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.
    Type: Application
    Filed: June 8, 2022
    Publication date: September 22, 2022
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Haripriya SRINIVASARAGHAVAN, Rajeshwar MAKAM, Frolov VOLODYMYR, Pratik SARKAR, Ankit NAIDU, Yevhen RUTSKYI
  • Systems and methods for evaluating models that generate recommendations
    Patent number: 11375280
    Abstract: A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.
    Type: Grant
    Filed: July 12, 2021
    Date of Patent: June 28, 2022
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Haripriya Srinivasaraghavan, Rajeshwar Makam, Frolov Volodymyr, Pratik Sarkar, Ankit Naidu, Yevhen Rutskyi
  • SYSTEMS AND METHODS FOR EVALUATING MODELS THAT GENERATE RECOMMENDATIONS
    Publication number: 20220014822
    Abstract: A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.
    Type: Application
    Filed: July 12, 2021
    Publication date: January 13, 2022
    Applicant: Verizon Patent and Licensing Inc.
    Inventors: Haripriya SRINIVASARAGHAVAN, Rajeshwar MAKAM, Frolov VOLODYMYR, Pratik SARKAR, Ankit NAIDU, Yevhen RUTSKYI
  • Systems and methods for evaluating models that generate recommendations
    Patent number: 11070881
    Abstract: A device may receive content data, a first model, and a second model. The first model may be trained on different types of metadata than the second model. The content data may include a first identifier of a first content item and a first set of metadata associated with the first content item. The device may process the first set of metadata to generate first recommendations from the first model and second recommendations from the second model. The device may provide the first identifier and a combination of the first recommendations and the second recommendations to client devices. The device may receive, from the client devices, user-generated target recommendations based on the combination. The device may process the user-generated target recommendations, the first recommendations, and the second recommendations, to provide feedback to update the first model and the second model.
    Type: Grant
    Filed: July 7, 2020
    Date of Patent: July 20, 2021
    Assignee: Verizon Patent and Licensing Inc.
    Inventors: Haripriya Srinivasaraghavan, Rajeshwar Makam, Frolov Volodymyr, Pratik Sarkar, Ankit Naidu, Yevhen Rutskyi