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：US20140114774A1

公开(公告)日：2014-04-24

申请号：US13659695

申请日：2012-10-24

Applicant: Facebook, Inc.

Inventor： Alexander Paul Schultz ,  Brian Piepgrass ,  Ching-Chih Weng ,  Daniel Ferrante ,  Deeptanshu Verma ,  Peter Martinazzi ,  Thomas Alison ,  Ziqing Mao

IPC: H04L29/08 ,  G06Q50/00

Abstract: Techniques introduced here include a system and method for determining whether to provide a user of a social networking system with candidate users (i.e., potential contacts) with whom the user does not already have any connections with. In some embodiments, the system generates a set of candidate users based on a value (e.g., to the social networking system) associated with each potential connection formed between the user and the set of candidate users. In one or more embodiments, the system ranks the candidate users based on their connection-value to the social networking system and provides the ranked candidate users as suggested new connections to the user.

Abstract translation: 这里介绍的技术包括用于确定是否向社交网络系统的用户提供与用户尚未具有任何连接的候选用户（即，潜在联系人）的系统和方法。 在一些实施例中，系统基于与用户和一组候选用户之间形成的每个潜在连接相关联的值（例如，到社交网络系统）生成一组候选用户。 在一个或多个实施例中，系统基于其与社交网络系统的连接值对候选用户进行排名，并且将所排名的候选用户作为建议的新连接提供给用户。

公开(公告)号：US10587705B2

公开(公告)日：2020-03-10

申请号：US13659695

申请日：2012-10-24

Applicant: Facebook, Inc.

Inventor： Alexander Paul Schultz ,  Brian Piepgrass ,  Ching-Chih Weng ,  Daniel Ferrante ,  Deeptanshu Verma ,  Peter Martinazzi ,  Thomas Alison ,  Ziqing Mao

IPC: H04L29/08 ,  G06Q30/02 ,  G06Q50/00 ,  G06Q10/10

Abstract: Techniques introduced here include a system and method for determining whether to provide a user of a social networking system with candidate users (i.e., potential contacts) with whom the user does not already have any connections with. In some embodiments, the system generates a set of candidate users based on a value (e.g., to the social networking system) associated with each potential connection formed between the user and the set of candidate users. In one or more embodiments, the system ranks the candidate users based on their connection-value to the social networking system and provides the ranked candidate users as suggested new connections to the user.

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。