Invention Grant
- Patent Title: Metadata prediction of objects in a social networking system using crowd sourcing
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Application No.: US14672551Application Date: 2015-03-30
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Publication No.: US10178197B2Publication Date: 2019-01-08
- Inventor: Jeffrey Scott Dunn , Robert William Cathcart , Cameron Alexander Marlow , Mukund Narasimhan , Yuankai Ge , Venkataramanan Iyer Nandagopal , Chad Little
- Applicant: Facebook, Inc.
- Applicant Address: US CA Menlo Park
- Assignee: Facebook, Inc.
- Current Assignee: Facebook, Inc.
- Current Assignee Address: US CA Menlo Park
- Agency: Fenwick & West LLP
- Main IPC: G06F15/16
- IPC: G06F15/16 ; H04L29/08 ; G06Q10/00

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.
Public/Granted literature
- US20150207901A1 METADATA PREDICTION OF OBJECTS IN A SOCIAL NETWORKING SYSTEM USING CROWD SOURCING Public/Granted day:2015-07-23
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