Facilitating user input by predicting target storage locations

A computer system for modifying a user interface, comprising:

• one or more processors, one or more computer-readable memories, one or more non-transitory computer-readable storage media, and program instructions stored on at least one of the one or more non-transitory storage media for execution by at least one of the one or more processors via at least one of the one or more memories, wherein the computer system is capable of performing a method comprising:
• determining attributes of a source object identified by a user in connection with a user input for storing the source object;
• determining attributes of one or more target storage locations;
• predicting a target storage location for storing the source object and a confidence value associated with the prediction, wherein a machine learning model predicts the predicted target storage location and associated confidence value based on the determined attributes of the source object and the determined attributes of the one or more target storage locations;
• determining a plurality of target storage location usage patterns, the target storage location usage patterns based on historical usage of the user interface by the user;
• and
• modifying the user interface based on the predicted target storage location and the determined plurality of target storage location usage patterns, modifying the user interface by providing a gravity effect between the source object and the predicted target storage location, the strength of the gravity effect based upon the confidence value.

A computer program product for modifying a user interface, comprising:

• one or more non-transitory computer-readable storage media and program instructions stored on at least one of the one or more non-transitory computer-readable storage media, the program instructions executable by a processor to cause the processor to perform a method comprising:
• determining attributes of a source object identified by a user in connection with a user input for storing the source object;
• determining attributes of one or more target storage locations;
• predicting a target storage location for storing the source object and a confidence value associated with the prediction, wherein a machine learning model predicts the predicted target storage location and associated confidence value based on the determined attributes of the source object and the determined attributes of the one or more target storage locations;
• determining a plurality of target storage location usage patterns, the target storage location usage patterns based on historical usage of the user interface by the user;
• and
• modifying the user interface based on the predicted target storage location and the determined plurality of target storage location usage patterns, modifying the user interface by providing a gravity effect between the source object and the predicted target storage location, the strength of the gravity effect based upon the confidence value.