Patent · US Active

Generation of models for classifying user groups

US12260422B2 · kind B2 · utility

0Cited by
4References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateMar 21, 2022
Grant dateMar 25, 2025
Priority date
Expiry dateJun 18, 2042

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06Q30/0202
  • WIPO fieldIT methods for management
  • WIPO sectorElectrical engineering

Abstract

Methods, systems, and computer programs are presented for estimating if a user belongs to an audience category. One method includes an operation for accessing events generated at a website. Each event comprises a data structure describing an operation performed by a user, from a group of users, when accessing the website. Further, the method includes an operation for providing event information and information of a first user, for a predefined time window, as input to an audience machine-learning (ML) model. The audience ML model is trained with training data comprising values for features that include event features, user information features, and audience labels. The method further includes operations for generating, by the audience ML model, a score for the first user indicating a probability that the first user belongs to the audience, and for determining if the user belongs to the audience based on the score.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.