公开(公告)号：US20160085879A1

公开(公告)日：2016-03-24

申请号：US14961773

申请日：2015-12-07

Applicant: Facebook, Inc.

Inventor： Wayne Kao

IPC: G06F17/30

CPC classification number: G06F17/30905 ,  G06F17/30867 ,  G06Q50/01

Abstract: A social networking system generates a friendship page that displays social graph data common to two or more social networking system users. A user requests the page by identifying two or more social networking system. The social networking system obtains social graph data common to the identified social networking system users and generates a friendship page containing that social graph data. The obtained social graph data may include interactions between each of the identified user and/or social networking system objects with which each of the identified users has interacted. Examples of the types of social graph data may include photos, videos, communications, content items, events, locations, friends, family members, biographical data, and location data. The friendship page may be displayed to the requesting user in a web browser or in a native application.

Abstract translation: 社交网络系统产生一个友谊页面，显示两个或多个社交网络系统用户共同的社交图表数据。 用户通过识别两个或更多个社交网络系统来请求该页面。 社交网络系统获得所识别的社交网络系统用户通用的社交图数据，并生成包含该社交图数据的友谊页面。 所获得的社交图数据可以包括识别的用户和/或社交网络系统对象之间的每个被识别的用户与之互动的交互。 社交图数据类型的示例可以包括照片，视频，通信，内容项目，事件，位置，朋友，家庭成员，传记数据和位置数据。 友情页面可以在web浏览器或本机应用中显示给请求用户。

公开(公告)号：US09286575B2

公开(公告)日：2016-03-15

申请号：US14286803

申请日：2014-05-23

Applicant: Facebook, Inc.

Inventor： Max Gubin ,  Wayne Kao ,  David Vickrey ,  Alexey Maykov

IPC: G06N99/00 ,  G06Q10/06 ,  G06Q50/00 ,  G06F17/30

CPC classification number: G06N99/005 ,  G06F17/30867 ,  G06Q10/06393 ,  G06Q50/01

Abstract: Machine learning models are used for ranking news feed stories presented to users of a social networking system. The social networking system divides its users into different sets, for example, based on demographic characteristics of the users and generates one model for each set of users. The models are periodically retrained. The news feed ranking model may rank news feeds for a user based on information describing other users connected to the user in the social networking system. Information describing other users connected to the user includes interactions of the other users with objects associated with news feed stories. These interactions include commenting on a news feed story, liking a news feed story, or retrieving information, for example, images, videos associated with a news feed story.

Abstract translation: 机器学习模型用于对社交网络系统的用户提供新闻馈送故事。 社交网络系统将用户分为不同的集合，例如基于用户的人口特征，并为每组用户生成一个模型。 这些模型定期进行再培训。 新闻排序模型可以基于描述在社交网络系统中连接到用户的其他用户的信息来为用户排序新闻馈送。 描述连接到用户的其他用户的信息包括其他用户与与新闻馈送故事相关联的对象的交互。 这些互动包括评论新闻Feed故事，喜欢新闻Feed故事或检索信息，例如图像，与新闻Feed故事相关的视频。