Microsoft Technology Licensing, LLC

John Fitzgerald Bronskill

John Guiver

James Edelen

Saravanakumar Rajmohan

Artyom Sadovsky

Kashif Dastgir

Jian Li

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.

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Cambridge, United Kingdom

John Fitzgerald Bronskill