Cookie space domain adaptation for device attribute prediction
US12412069B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 22, 2021 |
| Grant date | Sep 9, 2025 |
| Priority date | — |
| Expiry date | Jul 11, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure describes techniques for training a model using cross-domain adaptation to classify content requests from client devices having unknown attributes. The system can obtain requests for content from client devices of a first domain, and requests for content from client devices of a second domain. The system can train a model by propagating request attributes of the first domain through the model to generate first internal data from an internal layer of the model and a first output vector an output layer of the model. The system can propagate request attributes of the second domain to generate second internal data, and determine a difference between the first internal data and the second internal data. The system can update the model based on the difference and the output vector, and classify a third client device of the second domain using the model.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.