公开(公告)号：US20130325631A1

公开(公告)日：2013-12-05

申请号：US13954913

申请日：2013-07-30

Applicant: Facebook, Inc.

Inventor： Brian Rosenthal

IPC: G06Q30/02

CPC classification number: G06Q30/0269 ,  G06Q30/0251 ,  G06Q30/0276

Abstract: Users of a social networking system are provided with advertisements when accessing content associated with the social networking system. The content of such advertisement may be generated by other users of the social networking system. An advertiser may provide an advertising template containing an advertised message and fields wherein a user can input an endorsement. The social networking system generates an advertisement responsive to the advertisement content provided by the advertiser and the endorsement content provided by the endorsing user. The social networking user can provide the generated advertisements to viewing users who meet the advertisement's targeting criteria, and display criteria or subject to privacy settings provided by the endorsing user.

Abstract translation: 当访问与社交网络系统相关联的内容时，向社交网络系统的用户提供广告。 这种广告的内容可以由社交网络系统的其他用户产生。 广告商可以提供包含广告消息的广告模板和用户可以输入背书的字段。 社交网络系统响应于广告商提供的广告内容和由认可用户提供的认可内容产生广告。 社交网络用户可以将生成的广告提供给观看符合广告的定位标准的用户，并且显示标准或受到认证用户提供的隐私设置的限制。

公开(公告)号：US20190188740A1

公开(公告)日：2019-06-20

申请号：US15849364

申请日：2017-12-20

Applicant: Facebook, Inc.

Inventor： Hongzheng Xiong ,  Pravin Paratey ,  Brian Rosenthal ,  Abhishek Agarwal ,  Daniel Kristopher Harvey ,  Damien Lefortier

IPC: G06Q30/02 ,  H04L29/08 ,  G06F15/18

CPC classification number: G06Q30/0203 ,  G06N20/00 ,  G06Q30/0201 ,  G06Q30/0254 ,  H04L67/306

Abstract: An online system displays a first set of content items to a user of a test group and displays a second set of content items to a user of a control group. The online system presents a poll to each user to evaluate the user's recall of the content item associated with the poll. The online system receives a poll response from each user, which is input, along with a set of features associated each user, into a prediction model. The prediction model enables the online system to determine a poll response prediction of a third user based on a set of features associated with the third user. The poll response prediction enables the online system to determine if it would be effective to present the content item to the third user.