Metadata prediction of objects in a social networking system using crowd sourcing
US9021056B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 13, 2011 |
| Grant date | Apr 28, 2015 |
| Priority date | — |
| Expiry date | Jul 6, 2033 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04L67/535
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
A social networking system leverages user's social information to evaluate content submitted for inclusion in objects. If the evaluated submission is accepted, the submission is added to the content of an object. Accepted submissions are also used to predict associations between metadata and objects. Metadata is used to predict which objects will match user searches for information. The social networking system also provides a user interface configured to prompt users to submit information to objects. When a user completes a submission to an object, the user is provided with other options for groups of objects to contribute to. The objects offered are chosen to increase the likelihood that the user will choose to provide submissions to one of the provided objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.