Invention Grant
- Patent Title: Detecting content items in violation of an online system policy using semantic vectors
-
Application No.: US15694321Application Date: 2017-09-01
-
Publication No.: US11195099B2Publication Date: 2021-12-07
- Inventor: Enming Luo , Yang Mu , Emanuel Alexandre Strauss , Taiyuan Zhang , Daniel Olmedilla de la Calle
- 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: G06N3/08
- IPC: G06N3/08 ; G06N3/04 ; G06F21/62 ; G06Q10/06 ; G06Q50/00 ; G06Q30/00

Abstract:
A content review system for an online system automatically determines if received content items to be displayed to users violate any policies of the online system. The content review system generates a semantic vector representing the semantic features of a content item, for example, using a neural network. By comparing the semantic vector for the content item with semantic vectors of content items previously determined to violate one or more policies, the content review system determines whether the content item also violates one or more policies. The content review system may also maintain templates corresponding to portions of semantic vectors shared by multiple content items. An analysis of historical content items that conform to the template is performed to determine a probability that received content items that conform to the template violate a policy.
Public/Granted literature
- US20190073592A1 DETECTING CONTENT ITEMS IN VIOLATION OF AN ONLINE SYSTEM POLICY USING SEMANTIC VECTORS Public/Granted day:2019-03-07
Information query