| CPC G06Q 30/0264 (2013.01) [G06Q 30/0255 (2013.01); G06Q 30/0269 (2013.01)] | 20 Claims |
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1. An electronic device comprising:
a communicator;
at least one memory storing information associated with a trained neural network model for predicting a target device for each time zone from a plurality of time zones for an advertising content, each time zone associated with a different time interval; and
at least one processor configured to:
acquire, from a plurality of external devices, data corresponding to a use history of a user the use history comprising information on use times of the plurality of external devices;
acquire, based on the data corresponding to the use history, a plurality of feature values corresponding to a respective external device from the plurality of external devices by allocation of each feature value of the plurality of feature values to a respective time zone from the plurality of time zones,
input the plurality of feature values into the trained neural network model, and acquire, from the trained neural network model, score information for a plurality of probabilities that the plurality of external devices are related to a label by allocation of each probability of the plurality of probabilities to a respective time zone from the plurality of time zones,
predict, based on the score information, a plurality of target devices to be used and execute one or more applications by the user for each of the plurality of time zones based on an identification of the external devices having a highest score information for each of the plurality of time zones, and
control the communicator to transmit information on the advertising content to the plurality of target devices predicted to be used and execute the one or more applications by the user for each of the plurality of time zones.
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