Recommending digital content based on implicit user identification
US8887095B2 · kind B2 · utility
13Cited by
3References
23Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Apr 5, 2011 |
| Grant date | Nov 11, 2014 |
| Priority date | — |
| Expiry date | Jul 29, 2032 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N21/4826
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
One embodiment of the present invention sets forth a technique for recommending digital content to a user of a digital content application based on continually learned patterns of behavior. Based on metrics collected from a current session of the digital content application, properties associated with one or more users interacting with the application are inferred. The inferred properties are matched against previously defined patterns of behavior to identify digital content that could be presented to the one or more users for optional selection.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.