METHODS AND SYSTEM FOR MANAGING PREDICTIVE MODELS

摘要

Disclosed herein is a technique for implementing a framework that enables application developers to enhance their applications with dynamic adjustment capabilities. Specifically, the framework, when utilized by an application on a mobile computing device that implements the framework, can enable the application to establish predictive models that can be used to identify meaningful behavioral patterns of an individual who uses the application. In turn, the predictive models can be used to preempt the individual's actions and provide an enhanced overall user experience. The framework is configured to interface with other software entities on the mobile computing device that conduct various analyses to identify appropriate times for the application to manage and update its predictive models. Such appropriate times can include, for example, identified periods of time where the individual is not operating the mobile computing device, as well as recognized conditions where power consumption is not a concern.

主权项

1. A method for generating and deploying predictive models to computing devices, the method comprising steps that include:
at a source computing device:
receiving a request to generate a raw predictive model based on a set of training data;generating the raw predictive model based on the set of training data;identifying one or more destination computing devices to which the raw predictive model is to be deployed; andfor each of the one or more destination computing devices:
upon determining that it is advantageous to generate a deployment predictive model that is specific to the destination computing device:
generating, using the raw predictive model, the deployment predictive model, and providing the deployment predictive model to the destination computing device.