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SYSTEMS AND METHODS FOR PREDICTING ACTIONABLE TASKS USING CONTEXTUAL MODELS
SYSTEMS AND METHODS FOR PREDICTING ACTIONABLE TASKS USING CONTEXTUAL MODELS
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机译:使用上下文模型预测可操作任务的系统和方法
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摘要
The present disclosure relates to an intelligent user interface that predicts tasks for users to complete using a trained machine-learning model. In some implementations, when a user accesses the intelligent user interface, the available tasks and a user profile can be inputted into the trained machine-learning model to output a prediction of one or more tasks for the user to complete. Advantageously, the trained machine-learning model outputs a prediction of tasks that the user will likely need to complete, based at least in part on the user's profile and previous interactions with applications.
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