公开(公告)号：US09497234B2

公开(公告)日：2016-11-15

申请号：US13728848

申请日：2012-12-27

Applicant: Facebook, Inc.

Inventor： Abheek Anand ,  Julia Lee

IPC: G06F3/048 ,  H04L29/06 ,  G06Q30/02 ,  G06Q30/06 ,  G06Q50/00

CPC classification number: G06Q50/01 ,  G06Q30/02 ,  G06Q30/0201 ,  G06Q30/06 ,  H04L51/32 ,  H04L65/403

Abstract: A method includes: determining a first user interaction on a social network system; identifying a social network object in the social network system associated with the first user interaction by traversing a social graph of the social network system; identifying a user account based on the first user interaction; generating an implicit social graph connection between the user account and the social network object; and selecting a content entry for displaying to a user device signed-in under the user account or a friend account based on the implicit social graph connection, the friend account socially connected to the user account via the social graph of the social network system.

Abstract translation: 一种方法包括：确定社交网络系统上的第一用户交互; 通过遍历社交网络系统的社交图来识别与第一用户交互相关联的社交网络系统中的社交网络对象; 基于第一用户交互识别用户帐户; 在用户帐户和社交网络对象之间产生隐含的社交图连接; 以及基于所述隐性社交图连接，通过所述社交网络系统的所述社交图来与所述用户账户相关联的所述朋友帐户，选择用于显示给所述用户帐户或朋友账户下的用户设备的内容条目。

公开(公告)号：US09146894B2

公开(公告)日：2015-09-29

申请号：US13962821

申请日：2013-08-08

Applicant: Facebook, Inc.

Inventor： Brian Piepgrass ,  Deeptanshu Verma ,  Tony Hsien-yu Liu ,  Ashish Yadav ,  Julia Lee

IPC: G06F15/16 ,  G06F15/173

CPC classification number: G06F15/17306 ,  G06Q30/0269 ,  G06Q50/01

Abstract: A method for making entity recommendations to users of a social networking system (SNS) by maximizing a predicted benefit to the SNS through objective value models. The method includes generating a plurality of candidate entities eligible for recommendation, and determining a weight for each candidate entity based upon an output score generated by an objective value model. The objective value model utilizes objectively measurable input values describing the candidate entities and generates larger output scores for those candidate entities that would create larger predicted increases in an objectively measurable amount of benefit for the SNS created by a potential connection being created between the user and the respective candidate entity. One or more entities are selected based upon the determined weights, and an entity recommendation user interface is presented to the user that includes one or more recommendation modules identifying the selected one or more entities.

Abstract translation: 通过目标价值模型最大化对SNS的预期效益，为社交网络系统（SNS）的用户提供实体建议的方法。 该方法包括生成符合推荐标准的多个候选实体，并且基于由目标值模型生成的输出得分确定每个候选实体的权重。 目标价值模型利用描述候选实体的客观可衡量的输入值，并为那些候选实体产生更大的输出分数，这些候选实体将产生由在用户和用户之间创建的潜在连接所创建的SNS产生的可客观可衡量的有益效益的较大预测增长 各候选实体。 基于所确定的权重来选择一个或多个实体，并且向用户呈现包括标识所选择的一个或多个实体的一个或多个推荐模块的实体推荐用户界面。

公开(公告)号：US09990679B2

公开(公告)日：2018-06-05

申请号：US15251848

申请日：2016-08-30

Applicant: Facebook, Inc.

Inventor： Abheek Anand ,  Julia Lee

IPC: G06F3/048 ,  G06Q50/00 ,  H04L29/06 ,  G06Q30/02 ,  G06Q30/06 ,  H04L12/58

CPC classification number: G06Q50/01 ,  G06Q30/02 ,  G06Q30/0201 ,  G06Q30/06 ,  H04L51/32 ,  H04L65/403

Abstract: Several embodiments include a social network system that generates an implicit social graph connection between a first social network object and a second social network object. The implicit social graph connection can be generated based on a shared profile attribute between the social network objects or a user interaction in the social network system. The social network system can store the implicit social graph connection in a social graph of the social network system. The social network system can provide a social network service that selectively presents, based on the implicit social graph connection, a content entry to a client of the social network system.

公开(公告)号：US20150046528A1

公开(公告)日：2015-02-12

申请号：US13962821

申请日：2013-08-08

Applicant: Facebook, Inc.

Inventor： Brian Piepgrass ,  Deeptanshu Verma ,  Tony Hsien-yu Liu ,  Ashish Yadav ,  Julia Lee

IPC: G06F15/173

CPC classification number: G06F15/17306 ,  G06Q30/0269 ,  G06Q50/01

Abstract: A method for making entity recommendations to users of a social networking system (SNS) by maximizing a predicted benefit to the SNS through objective value models. The method includes generating a plurality of candidate entities eligible for recommendation, and determining a weight for each candidate entity based upon an output score generated by an objective value model. The objective value model utilizes objectively measurable input values describing the candidate entities and generates larger output scores for those candidate entities that would create larger predicted increases in an objectively measurable amount of benefit for the SNS created by a potential connection being created between the user and the respective candidate entity. One or more entities are selected based upon the determined weights, and an entity recommendation user interface is presented to the user that includes one or more recommendation modules identifying the selected one or more entities.

Abstract translation: 通过目标价值模型最大化对SNS的预期效益，为社交网络系统（SNS）的用户提供实体建议的方法。 该方法包括生成符合推荐标准的多个候选实体，并且基于由目标值模型生成的输出得分确定每个候选实体的权重。 目标价值模型利用描述候选实体的客观可衡量的输入值，并为那些候选实体产生更大的输出分数，这些候选实体将产生由在用户和用户之间创建的潜在连接所创建的SNS产生的可客观可衡量的有益效益的较大预测增长 各候选实体。 基于所确定的权重来选择一个或多个实体，并且向用户呈现包括标识所选择的一个或多个实体的一个或多个推荐模块的实体推荐用户界面。

公开(公告)号：US20160371793A1

公开(公告)日：2016-12-22

申请号：US15251848

申请日：2016-08-30

Applicant: Facebook, Inc.

Inventor： Abheek Anand ,  Julia Lee

IPC: G06Q50/00 ,  G06Q30/02

CPC classification number: G06Q50/01 ,  G06Q30/02 ,  G06Q30/0201 ,  G06Q30/06 ,  H04L51/32 ,  H04L65/403

Abstract: Several embodiments include a social network system that generates an implicit social graph connection between a first social network object and a second social network object. The implicit social graph connection can be generated based on a shared profile attribute between the social network objects or a user interaction in the social network system. The social network system can store the implicit social graph connection in a social graph of the social network system. The social network system can provide a social network service that selectively presents, based on the implicit social graph connection, a content entry to a client of the social network system.

Abstract translation: 几个实施例包括在第一社交网络对象和第二社交网络对象之间生成隐式社交图连接的社交网络系统。 可以基于社交网络对象之间的共享简档属性或社交网络系统中的用户交互来生成隐式社交图连接。 社交网络系统可以将隐性社交图连接存储在社交网络系统的社交图中。 社交网络系统可以提供一种社交网络服务，其基于隐性社交图连接选择性地向社交网络系统的客户端呈现内容条目。

公开(公告)号：US20140189530A1

公开(公告)日：2014-07-03

申请号：US13728848

申请日：2012-12-27

Applicant: Facebook, Inc.

Inventor： Abheek Anand ,  Julia Lee

IPC: H04L29/06

CPC classification number: G06Q50/01 ,  G06Q30/02 ,  G06Q30/0201 ,  G06Q30/06 ,  H04L51/32 ,  H04L65/403

Abstract: A method includes: determining a first user interaction on a social network system; identifying a social network object in the social network system associated with the first user interaction by traversing a social graph of the social network system; identifying a user account based on the first user interaction; generating an implicit social graph connection between the user account and the social network object; and selecting a content entry for displaying to a user device signed-in under the user account or a friend account based on the implicit social graph connection, the friend account socially connected to the user account via the social graph of the social network system.

Abstract translation: 一种方法包括：确定社交网络系统上的第一用户交互; 通过遍历社交网络系统的社交图来识别与第一用户交互相关联的社交网络系统中的社交网络对象; 基于第一用户交互识别用户帐户; 在用户帐户和社交网络对象之间产生隐含的社交图连接; 以及基于所述隐性社交图连接，通过所述社交网络系统的所述社交图来与所述用户账户相关联的所述朋友帐户，选择用于显示给所述用户帐户或朋友账户下的用户设备的内容条目。