Patent · US Active

Target identification using big data and machine learning

US11042909B2 · kind B2 · utility

2Cited by
2References
20Claims
0Family size

Assignee

Inventors

Key dates

Filing dateJul 26, 2018
Grant dateJun 22, 2021
Priority date
Expiry dateJul 26, 2038

Classification

  • Technology area (CPC G)Physics
  • CPC primaryG06N7/01
  • WIPO fieldComputer technology
  • WIPO sectorElectrical engineering

Abstract

A device may obtain, from a collection of data sources, personal information and activity information for a group of individuals. The device may generate profile information by associating the personal information and the activity information for each individual in the group of individuals. The device may determine a set of features capable of being used to train a set of machine learning models by using one or more feature identification techniques to analyze the profile information. The set of features may include generic features and contextualized features associated with the group of individuals. The device may train the set of machine learning models using one or more subsets of features of the set of features. The device may use the set of machine learning models to process a request from a client device for a list of prospective targets for a campaign.

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