Event processing based on multiple time windows

An electronic device, comprising a computer processor coupled to a computer-readable memory unit, the memory unit comprising instructions that when executed by the computer processor cause the computer processor to perform operations, the operations comprising:

• obtaining first data associated with a first time window, the first data comprising first objects and first groups of events, wherein each of the first groups of events is related to a corresponding first object among the first objects;
• obtaining second data associated with a second time window, the second data comprising second objects and second groups of events, wherein each of the second groups of events is related to a corresponding second object among the second objects, and a duration of the second time window is shorter than a duration of the first time window;
• generating first training samples based on the first data and generating second training samples based on the second data;
• and
• training an initial model on the first training samples and the second training samples to obtain an event model, wherein the event model is configured to predict whether a particular event is to be received from a user in response to an object being displayed to the user.

A computer program product, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by an electronic device to cause the electronic device to perform operations, the operations comprise:

• obtaining first data associated with a first time window, the first data comprising first objects and first groups of events, wherein each of the first groups of events is related to a corresponding first object among the first objects;
• obtaining second data associated with a second time window, the second data comprising second objects and second groups of events, wherein each of the second groups of events is related to a corresponding second object among the second objects, and a duration of the second time window is shorter than a duration of the first time window;
• generating first training samples based on the first data and generating second training samples based on the second data;
• and
• training an initial model on the first training samples and the second training samples to obtain an event model, wherein the event model is configured to predict whether a particular event is to be received from a user in response to an object being displayed to the user.