Google llc (20250004797). Training Pipeline for Training Machine-Learned User Interface Customization Models
Training Pipeline for Training Machine-Learned User Interface Customization Models
Organization Name
Inventor(s)
Lisa Michelle Jakobovits of San Carlos CA US
Jonathan James Mulligan of San Francisco CA US
Xinlong Bao of Los Altos CA US
John Chen of Mountain View CA US
Jing Wang of Mountain View CA US
Training Pipeline for Training Machine-Learned User Interface Customization Models
This abstract first appeared for US patent application 20250004797 titled 'Training Pipeline for Training Machine-Learned User Interface Customization Models
Original Abstract Submitted
example embodiments of the present disclosure provide for an example method. the example method includes obtaining session data descriptive of a plurality of user sessions, the plurality of user sessions respectively including an interaction with an input element rendered at a user device and a request for a resource associated with the input element. the example method includes obtaining, using a first machine-learned model, a plurality of weights associated with the plurality of user sessions by, for a respective user session of the plurality of user sessions: inputting, to the first machine-learned model, data descriptive of one or more characteristics of the respective user session; and obtaining, from the first machine-learned model, a respective weight of the plurality of weights, the respective weight indicative of an incremental probability of the request conditioned on rendering of the input element. the example method includes updating, based on the plurality of weights, a second machine-learned model to optimize candidate proposals for participation in a real-time content selection process for populating a user interface with one or more selected input elements.
