Native machine learning service for user adaptation on a mobile platform
US8429103B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 2, 2012 |
| Grant date | Apr 23, 2013 |
| Priority date | — |
| Expiry date | Aug 2, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04M1/72457
- WIPO fieldTelecommunications
- WIPO sectorElectrical engineering
Abstract
Disclosed are apparatus and methods for providing machine-learning services. A machine-learning service executing on a mobile platform can receive data related to a plurality of features. In some cases, the received data can include data related to features received from an application and data related to features received from the mobile platform. The machine-learning service can determine at least one feature based on the received data. The machine-learning service can generate an output by performing a machine-learning operation on the at least one feature. The machine-learning operation can be selected from among an operation of ranking the at least one feature, an operation of classifying the at least one feature, an operation of predicting the at least one feature, and an operation of clustering the at least one feature. The machine-learning service can send the output.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.