Adaptive targeting for finding look-alike users
US9087332B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 30, 2010 |
| Grant date | Jul 21, 2015 |
| Priority date | — |
| Expiry date | Aug 30, 2032 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06Q30/0251
- WIPO fieldIT methods for management
- WIPO sectorElectrical engineering
Abstract
A method for adaptive display of internet advertisements to look-alike users using a desired user profile dataset as a seed to machine learning modules. Upon availability of a desired user profile, that user profile is mapped other look-alike users (from a larger database of users). The method proceeds to normalize the desired user profile object, proceeds to normalize known user profile objects, then seeding a machine-learning training model with the normalized desired user profile object. A scoring engine uses the normalized user profiles for matching based on extracted features (i.e. extracted from the normalized user profile objects). Once look-alike users have been identified, the internet display system may serve advertisements to the look-alike users, and analyze look-alike users' behaviors for storing the predicted similar user profile objects into the desired user profile object dataset, thus adapting to changing user behavior.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.