Patent ID: 11861633
Assignee: INTUIT INC.
Field: IT methods for management (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A machine learning (ML) system comprising:
at least one memory configured to store a plurality of available ML models and user profile data; and
a processor in communication with the at least one memory and configured to:
receive clickstream user interaction data of a user for a plurality of electronically-presented offers, the user interaction data for each respective offer indicating a frequency and a quality of user interactions with the offer;
generate a plurality of labels, the generating comprising generating a label for each respective offer according to a comparison of the quality of the user interactions of the respective offer to the frequency of the user interactions of the respective offer, where the label is a positive label or a negative label,
the comparison of the quality of the user interactions of the respective offer to the frequency of the user interactions of the respective offer comprising a determination that the user has been presented the respective offer a predetermined number of times but has not clicked on the offer,
the generated label being a negative label responsive to the determination that the user has been presented the respective offer the predetermined number of times but has not clicked on the offer, the generated label is a negative label;
determine whether the generating produced both positive and negative labels; and
select one of the available ML models, wherein a two-class ML model is chosen in response to determining that the generating produced both positive and negative labels and a one-class ML model is chosen in response to determining that the generating did not produce both positive and negative labels.