Invention Grant
US09021056B2 Metadata prediction of objects in a social networking system using crowd sourcing
有权
使用群众采购的社交网络系统中对象的元数据预测
- Patent Title: Metadata prediction of objects in a social networking system using crowd sourcing
- Patent Title (中): 使用群众采购的社交网络系统中对象的元数据预测
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Application No.: US13324776Application Date: 2011-12-13
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Publication No.: US09021056B2Publication Date: 2015-04-28
- Inventor: Jeffrey Scott Dunn , Robert William Cathcart , Cameron Alexander Marlow , Mukund Narasimhan , Yuankai Ge , Venkataramanan Iyer Nandagopal , Chad Little
- Applicant: Jeffrey Scott Dunn , Robert William Cathcart , Cameron Alexander Marlow , Mukund Narasimhan , Yuankai Ge , Venkataramanan Iyer Nandagopal , Chad Little
- 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 ; 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
- US20130151612A1 Metadata Prediction of Objects in a Social Networking System Using Crowd Sourcing Public/Granted day:2013-06-13
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