Client mobile devices that are offline are unable to receive notifications via the internet. This disclosure describes techniques to selectively transmit important notifications via alternate channels such as phone calls, SMS, etc. to client mobile devices that are offline. A machine learning model is trained to predict importance scores for incoming notifications, based on training data that includes human-provided ground truth scores. The trained machine learning model ranks the importance of various notifications. The techniques ensure that important notifications are delivered even when a client mobile device is disconnected from the internet.
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Cărbune, Victor and Feuz, Sandro, "Selective provision of notifications to devices that are offline", Technical Disclosure Commons, (December 13, 2017)