Intelligent routing of notifications related to media programming

An electronic device capable of presenting media programming, comprising:

• a network interface;
• a non-transitory computer-readable medium;
• and
• a processor in communication with the network interface, and the non-transitory computer-readable medium, and capable of executing processor-executable program code stored in the non-transitory computer-readable medium, to cause the electronic device to:
• obtain viewing data, wherein the viewing data includes at least one of a historical time and a historical date associated with at least one media program viewed on the electronic device or a second electronic device in communication with the electronic device;
• determine, based on the obtained viewing data, a duration that the at least one media program was viewed on the electronic device or the second electronic device;
• obtain at least one of a current time and a current date;
• determine, based on the duration and on at least one of the current time and the current date, a probability of the at least one media program being viewed on the electronic device by employing a neural network model, wherein employing the neural network model includes comparing the duration to a threshold time duration;
• and
• present, based on the probability exceeding a threshold and the duration being greater than the threshold time duration, the media program on the electronic device.

A non-transitory computer-readable medium comprising processor-executable program code configured to cause a processor of an electronic device to:

• obtain viewing data, wherein the viewing data includes at least one of a historical time and a historical date associated with at least one media program viewed on the electronic device or a second electronic device in communication with the electronic device;
• determine, based on the obtained viewing data, a duration that the at least one media program was viewed on the electronic device or the second electronic device;
• obtain at least one of a current time and a current date;
• employ a neural network model to determine, based on the duration and at least one of the current time and the current date, a probability of the at least one media program being viewed on the electronic device, including comparing the duration to a threshold time duration;
• and
• present, based on the probability exceeding a threshold and the duration being greater than the threshold time duration, the media program on the electronic device.