Recommendation agent using a routine model determined from mobile device data
US9179250B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2013 |
| Grant date | Nov 3, 2015 |
| Priority date | — |
| Expiry date | Jul 24, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/21
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A user's context history is analyzed to identify transitions between contexts therein. The identified transitions are used to build a routine model for the user. The routine model includes transition rules indicating a source context, a destination context, and, optionally, a probability that the user will transition from the source context to the destination context, based on the user's historical behavior. A customized recommendation agent for the user is built using the routine model. The customized recommendation agent selects recommendations from a corpus to present to the user, based on the routine model and the user's current or predicted future context.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.