Patents by Inventor Kashif Dastgir

Kashif Dastgir 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).

  • Personalized predictive models
    Patent number: 10504029
    Abstract: Generating and utilizing personalized predictive models are provided. When an electronic input is received, a generic predictive model is used to predict a user response to the input. After a prescribed period of time, an analysis is performed to determine the user's actual response to the input, as well as, the user's actual responses to other inputs of the same type. Training is performed on the generic predictive model to generate a new and personalized predictive model based on the user's actual responses to the analyzed inputs. The personalized predictive model is then utilized for predicting user response to future inputs of the same type. At a prescribed frequency, the generated personalized predictive model is updated by analyzing actual user responses to predictions provided by the personalized predictive model.
    Type: Grant
    Filed: June 30, 2015
    Date of Patent: December 10, 2019
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: James Edelen, Jian Li, John Fitzgerald Bronskill, John P. Guiver, Kashif Dastgir, Saravanakumar Rajmohan, Artyom Sadovsky
  • PERSONALIZED PREDICTIVE MODELS
    Publication number: 20170004408
    Abstract: Generating and utilizing personalized predictive models are provided. When an electronic input is received, a generic predictive model is used to predict a user response to the input. After a prescribed period of time, an analysis is performed to determine the user's actual response to the input, as well as, the user's actual responses to other inputs of the same type. Training is performed on the generic predictive model to generate a new and personalized predictive model based on the user's actual responses to the analyzed inputs. The personalized predictive model is then utilized for predicting user response to future inputs of the same type. At a prescribed frequency, the generated personalized predictive model is updated by analyzing actual user responses to predictions provided by the personalized predictive model.
    Type: Application
    Filed: June 30, 2015
    Publication date: January 5, 2017
    Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC.
    Inventors: James Edelen, Jian Li, John Fitzgerald Bronskill, John P. Guiver, Kashif Dastgir, Saravanakumar Rajmohan, Artyom Sadovsky