公开(公告)号：US10713094B1

公开(公告)日：2020-07-14

申请号：US15970841

申请日：2018-05-03

Applicant: Facebook, Inc.

Inventor： Matthew Feldman ,  Li Yu ,  Wei Yu ,  Phillip Huang ,  Haomin Yu ,  Yufei Chen

IPC: G06F9/46 ,  G06F9/50 ,  G06Q30/02 ,  G06F16/487

Abstract: An online system maintains a plurality of content items. The online system selects and provides content items to users of the online system in response to impression opportunities to provide content items to users. A plurality of segments of the impression opportunities are determined. Each segment categorizes the impression opportunities. A relationship between a value metric and computing resources used in the selection process are determined for each segment. Each relationship provides a rate of increase of the value metric given an increase in computing resources used. An allocation of computing resources used per impression opportunity for each of segment is determined based on the rates. A plurality of impression opportunities are identified. In response, one or more content items are selected for each impression opportunity using computing resources according to the determined allocation for the segment to which each impression opportunity belongs.

公开(公告)号：US20180082331A1

公开(公告)日：2018-03-22

申请号：US15272764

申请日：2016-09-22

Applicant: Facebook, Inc.

Inventor： Matthew Feldman ,  Shuo Li ,  Cassidy Jake Morris ,  Jonathan Mooser ,  Xu Wang

IPC: G06Q30/02

CPC classification number: G06Q30/0255 ,  G06Q30/0269 ,  G06Q30/0273

Abstract: An online system selects content items for presentation to viewing users of the online system based on a composite score associated with each content item that includes a quality component and a revenue component. The revenue component is based on a monetary amount an advertiser associated with the content item is willing to pay for each interaction with the content item by a prospective viewing user, while the quality component indicates the quality of the content item to the prospective viewing user. The quality component is predicted based on explicit user quality ratings received from viewing users for various content items previously presented to the viewing users, in which the viewing users have at least a threshold measure of similarity to the prospective viewing user and/or the various content items rated by the viewing users have at least a threshold measure of similarity to the content item being scored.

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.