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

Claim 0:
1. An automated machine learning (ML) selection method comprising:
receiving, at a processor, 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;
generating, by the processor, 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;

determining, by the processor, whether the generating produced both positive and negative labels; and
selecting, by the processor, one of a plurality of available ML models for processing user profile data of the user, a two-class ML model being chosen in response to determining that the generating produced both positive and negative labels and a one-class ML model being chosen in response to determining that the generating did not produce both positive and negative labels.