公开(公告)号：US20200336509A1

公开(公告)日：2020-10-22

申请号：US16388058

申请日：2019-04-18

Applicant: Facebook, Inc.

Inventor： Haotian Wang ,  Komal Kapoor ,  Gaurav Singh Thakur

IPC: H04L29/06 ,  G06N20/20 ,  G06F16/951 ,  H04L29/08

Abstract: An online system maintains pages and accesses a graph of nodes representing the pages. Each node is labeled to indicate that a corresponding page is for a real-world entity, an imposter of the real-world entity, or a derived entity complying with or violating a policy. The online system retrieves machine-learning models, each of which is trained based on labels for a set of the nodes and features of corresponding pages. A first model predicts whether a page is for a derived entity based on features of the page. Responsive to predicting the page is not for a derived entity, a second model predicts whether the page is for a real-world entity or an imposter based on features of the page. Responsive to predicting the page is for a derived entity, a third model predicts whether the derived entity complies with or violates the policy based on features of the page.

公开(公告)号：US10893070B2

公开(公告)日：2021-01-12

申请号：US16388058

申请日：2019-04-18

Applicant: Facebook, Inc.

Inventor： Haotian Wang ,  Komal Kapoor ,  Gaurav Singh Thakur

IPC: G06F7/04 ,  H04L29/06 ,  G06N20/20 ,  H04L29/08 ,  G06F16/951

Abstract: An online system maintains pages and accesses a graph of nodes representing the pages. Each node is labeled to indicate that a corresponding page is for a real-world entity, an imposter of the real-world entity, or a derived entity complying with or violating a policy. The online system retrieves machine-learning models, each of which is trained based on labels for a set of the nodes and features of corresponding pages. A first model predicts whether a page is for a derived entity based on features of the page. Responsive to predicting the page is not for a derived entity, a second model predicts whether the page is for a real-world entity or an imposter based on features of the page. Responsive to predicting the page is for a derived entity, a third model predicts whether the derived entity complies with or violates the policy based on features of the page.