公开(公告)号：US10373271B2

公开(公告)日：2019-08-06

申请号：US15446779

申请日：2017-03-01

Applicant: Facebook, Inc.

Inventor： Matthew Feldman ,  Jonathan Mooser ,  Cassidy Jake Beeve-Morris ,  Halil Bayrak ,  Aishwarya Rajagopal ,  Shuo Li ,  Leqiang Li ,  Zachary Zhang

IPC: G06Q30/00 ,  G06Q50/00 ,  G06Q30/02

Abstract: An online system applies content policies regulating presentation of sponsored content to its users. For example, content policies may prevent the presentation of sponsored content items in certain positions content feeds. The online system may relax a content policy when generating a content feed for a user based on characteristics of a user. For example, the online system generates a model determining a tolerance of the user for sponsored content, and relaxes one or more content policies if the tolerance of the user for sponsored content equals or exceeds a threshold. As another example, the online system determines whether to relax one or more content policies based on a comparison of a historical amount of compensation received from the user and an expected amount of compensation from presenting content items violating a content policy.

公开(公告)号：US20180253800A1

公开(公告)日：2018-09-06

申请号：US15446779

申请日：2017-03-01

Applicant: Facebook, Inc.

Inventor： Matthew Feldman ,  Jonathan Mooser ,  Cassidy Jake Morris ,  Halil Bayrak ,  Aishwarya Rajagopal ,  Shuo Li ,  Leqiang Li ,  Zachary Zhang

IPC: G06Q50/00 ,  G06Q30/02

CPC classification number: G06Q50/01 ,  G06Q30/0254 ,  G06Q30/0269

Abstract: An online system applies content policies regulating presentation of sponsored content to its users. For example, content policies may prevent the presentation of sponsored content items in certain positions content feeds. The online system may relax a content policy when generating a content feed for a user based on characteristics of a user. For example, the online system generates a model determining a tolerance of the user for sponsored content, and relaxes one or more content policies if the tolerance of the user for sponsored content equals or exceeds a threshold. As another example, the online system determines whether to relax one or more content policies based on a comparison of a historical amount of compensation received from the user and an expected amount of compensation from presenting content items violating a content policy.