Systems and methods for using geo-blocks and geo-fences to discover lookalike mobile devices
US10455363B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Oct 10, 2018 |
| Grant date | Oct 22, 2019 |
| Priority date | — |
| Expiry date | Oct 10, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/185
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides methods and systems that utilize mobile device location events and machine learning and generate predicative classification/regression model for lookalike prediction. Location related features, together with other user level information, are extracted, transformed and used as model feature input, and a client specified list of mobile devices or their associated users are used as prediction target. This system makes efficient use of different types of location events and thus offers improved scale and performance. It also enjoys many benefits offered by a machine learning platform, such as automatic adaptation to different lists of seed lists, addition of new features and changes in data statistical properties.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.