Recommendation agent using a personality model determined from mobile device data
US9020864B2 · kind B2 · utility
3Cited by
11References
18Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Jul 24, 2013 |
| Grant date | Apr 28, 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 build a personality model describing the user's personality and interests. The personality model includes a plurality of metrics indicating the user's position on a plurality of personality dimensions, such as desire for novelty, tendency for extravagance, willingness to travel, love of the outdoors, preference for physical activity, and desire for solitude. A customized recommendation agent is then built based on the personality model, which selects a recommendation from a corpus to present to the user based on an affinity between the user's personality and the selected recommendation.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.