Systems and methods for altering a GUI in response to in-session inferences

A method being implemented via execution of computing instructions configured to run at one or more processors and configured to be stored at non-transitory computer-readable media, the method comprising:

• gathering historical data comprising interactions of a user with a first graphical user interface displaying a first item at a first time;
• storing the historical data comprising the interactions of the user with the first graphical user interface as at least one historical feature vector by adding one or more respective counts to the at least one historical feature vector for each level of a hierarchical categorization of the first item;
• training a classifier on a neural network to identify an intent of the user;
• gathering in-session data comprising interactions of the user with a second graphical user interface at a second time later than the first time;
• storing the in-session data comprising the interactions of the user with the second graphical user interface as at least one in-session feature vector;
• determining the intent of the user using the at least one historical feature vector, the at least one in-session feature vector, and the classifier, as trained;
• and
• transmitting instructions to display a third graphical user interface for the user based upon the intent of the user.