Invention Grant
US08601596B2 Using social signals to identify unauthorized content on a social networking system
有权
使用社交信号来识别社交网络系统上的未经授权的内容
- Patent Title: Using social signals to identify unauthorized content on a social networking system
- Patent Title (中): 使用社交信号来识别社交网络系统上的未经授权的内容
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Application No.: US13325043Application Date: 2011-12-13
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Publication No.: US08601596B2Publication Date: 2013-12-03
- Inventor: Yunnan Wu , Peter Avelino Ruibal , Matthew Knight Jones , Clement Genzmer
- Applicant: Yunnan Wu , Peter Avelino Ruibal , Matthew Knight Jones , Clement Genzmer
- 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: H04L29/06
- IPC: H04L29/06
Abstract:
A prediction is calculated to determine whether a content item posted on a social networking system infringes on copyrights or otherwise violates the system's terms of use. The predictions are generated using social signals that are based on social information surrounding the content item, such as the density of connections between the posting user and the viewing users, the profile information of the users, and the geographical separation between the users. The content item is disabled if the prediction indicates a violation and the violation can be verified.
Public/Granted literature
- US20130152211A1 USING SOCIAL SIGNALS TO IDENTIFY UNAUTHORIZED CONTENT ON A SOCIAL NETWORKING SYSTEM Public/Granted day:2013-06-13
Information query
