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    • 3. 发明申请
    • OBJECTIVE VALUE MODELS FOR ENTITY RECOMMENDATION
    • 实体建议的目标价值模型
    • US20150046528A1
    • 2015-02-12
    • US13962821
    • 2013-08-08
    • Facebook, Inc.
    • Brian PiepgrassDeeptanshu VermaTony Hsien-yu LiuAshish YadavJulia Lee
    • G06F15/173
    • G06F15/17306G06Q30/0269G06Q50/01
    • 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.
    • 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。
    • 5. 发明授权
    • Objective value models for entity recommendation
    • 实体推荐目标值模型
    • US09146894B2
    • 2015-09-29
    • US13962821
    • 2013-08-08
    • Facebook, Inc.
    • Brian PiepgrassDeeptanshu VermaTony Hsien-yu LiuAshish YadavJulia Lee
    • G06F15/16G06F15/173
    • G06F15/17306G06Q30/0269G06Q50/01
    • 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.
    • 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。