Invention Grant
- Patent Title: Using machine learning techniques to detect imposter pages in an online system
-
Application No.: US16215657Application Date: 2018-12-11
-
Publication No.: US11032316B1Publication Date: 2021-06-08
- Inventor: Ravneet Singh Sidhu
- 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: H04L29/06
- IPC: H04L29/06 ; G06K9/62 ; G06N20/00

Abstract:
An online system detects imposter pages based on machine learning techniques. The online system maintains a plurality of authenticated pages and a plurality of unauthenticated pages, each of which is associated with a name and an image. From the plurality of unauthenticated pages, the online system filters out one or more unauthenticated pages that are associated with names of authenticated pages to obtain a group of candidate pages. Further, the online system pairs each candidate page up with an authenticated page. The candidate page has a name and/or image similar to the authenticated page. The online system inputs the candidate page and the authenticated page into a trained model. The trained model outputs an imposter score indicating a likelihood that the candidate page is an imposter page. The online system takes actions on the candidate page based on the imposter score.
Information query