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    INSTANTANEOUS RECOMMENDATION OF SOCIAL INTERACTIONS IN A SOCIAL NETWORKING SYSTEM
    3.
    发明申请
    INSTANTANEOUS RECOMMENDATION OF SOCIAL INTERACTIONS IN A SOCIAL NETWORKING SYSTEM 审中-公开
    社会互联系统社会互动的即时建议

    公开(公告)号：US20130080524A1

    公开(公告)日：2013-03-28

    申请号：US13247832

    申请日：2011-09-28

    申请人： Yigal Dan Rubinstein ,  Srinivas P. Narayanan ,  Kent Schoen ,  Yanxin Shi ,  David Dawei Ye ,  Andrey Goder ,  Levy Klots ,  Robert Kang-Xing Jin ,  Alexey Spiridinov

    发明人： Yigal Dan Rubinstein ,  Srinivas P. Narayanan ,  Kent Schoen ,  Yanxin Shi ,  David Dawei Ye ,  Andrey Goder ,  Levy Klots ,  Robert Kang-Xing Jin ,  Alexey Spiridinov

    IPC分类号： G06F15/16

    CPC分类号： G06Q30/0282 ,  G06Q10/101

    摘要： When a social interaction by a user in a social networking system is detected, a description of the interaction is created. A service level auction is performed to select one or more service modules to provide recommendation units from a plurality of service modules. Each of the plurality of service modules is configured to provide recommendation units that suggest that the user engage in a social interaction in the social networking system. The description of the interaction is provided to each service module selected and recommendation units are requested. A plurality of recommendation units are received from the selected service modules. A unit level auction is performed to select one of more recommendation units to present to the user from the plurality of recommendation units. The selected recommendation units are transmitted to a device of the user for presentation.

    摘要翻译： 当检测到社交网络系统中的用户的社交交互时，创建交互的描述。 执行服务级别拍卖以选择一个或多个服务模块以从多个服务模块提供推荐单元。 多个服务模块中的每一个被配置为提供建议单元，其建议用户参与社交网络系统中的社交交互。 将交互的描述提供给所选择的每个服务模块，并且请求推荐单元。 从所选择的服务模块接收多个推荐单元。 执行单位级别拍卖，以从多个推荐单元中选择一个以上的推荐单元以呈现给用户。 选择的推荐单元被发送到用户的设备以进行呈现。

    Unified auction model for suggesting recommendation units and ad units
    4.
    发明授权
    Unified auction model for suggesting recommendation units and ad units 有权

    公开(公告)号：US10572906B2

    公开(公告)日：2020-02-25

    申请号：US13549080

    申请日：2012-07-13

    申请人： Andrey Goder ,  David Dawei Ye ,  Yanxin Shi ,  John Hegeman

    发明人： Andrey Goder ,  David Dawei Ye ,  Yanxin Shi ,  John Hegeman

    IPC分类号： G06Q30/02

    摘要： A social networking system presents advertisements and recommendation units to its users. The recommendation units suggest actions for the users to increase their engagement with the social networking system or otherwise interact with other users, while the social networking system receives revenue from advertisers for displaying advertisements based on bid values associated with the advertisements. The social networking system determines values for the advertisements and for the recommendation units, where the values are measured in a comparable fashion. This allows the system to rank and select the advertisements and recommendation units together in a unified auction model. For example, the social networking system uses a pacing value to determine values of recommendation units having a common unit of measurement with expected values of advertisements to the social networking system.

    UNIFIED AUCTION MODEL FOR SUGGESTING RECOMMENDATION UNITS AND AD UNITS
    5.
    发明申请
    UNIFIED AUCTION MODEL FOR SUGGESTING RECOMMENDATION UNITS AND AD UNITS 审中-公开
    推荐建议单位和AD单位的统一拍卖模式

    公开(公告)号：US20140019233A1

    公开(公告)日：2014-01-16

    申请号：US13549080

    申请日：2012-07-13

    申请人： Andrey Goder ,  David Ye ,  Yanxin Shi ,  John Hegeman

    发明人： Andrey Goder ,  David Ye ,  Yanxin Shi ,  John Hegeman

    IPC分类号： G06Q30/02

    摘要： A social networking system presents advertisements and recommendation units to its users. The recommendation units suggest actions for the users to increase their engagement with the social networking system or otherwise interact with other users, while the social networking system receives revenue from advertisers for displaying advertisements based on bid values associated with the advertisements. The social networking system determines values for the advertisements and for the recommendation units, where the values are measured in a comparable fashion. This allows the system to rank and select the advertisements and recommendation units together in a unified auction model. For example, the social networking system uses a pacing value to determine values of recommendation units having a common unit of measurement with expected values of advertisements to the social networking system.

    摘要翻译： 社交网络系统向用户展示广告和推荐单位。 推荐单元建议用户增加他们与社交网络系统的参与或者与其他用户交互的动作，而社交网络系统根据与广告相关联的出价值从广告商收到用于显示广告的收入。 社交网络系统确定广告和推荐单位的价值，其中值以可比较的方式测量。 这允许系统在统一的拍卖模型中对广告和推荐单元进行排名和选择。 例如，社交网络系统使用起搏值来确定具有与社交网络系统的广告的预期值的具有公共测量单位的推荐单元的值。

    Real-Time Online-Learning Object Recommendation Engine
    6.
    发明申请
    Real-Time Online-Learning Object Recommendation Engine 有权
    实时在线学习对象推荐引擎

    公开(公告)号：US20130151539A1

    公开(公告)日：2013-06-13

    申请号：US13313984

    申请日：2011-12-07

    申请人： Yanxin Shi ,  Andrey Goder ,  David Ye

    发明人： Yanxin Shi ,  Andrey Goder ,  David Ye

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30867

    摘要： In one embodiment, a system includes one or more computing systems that implement a social networking environment containing a large number of heterogeneous objects type, each of the plurality of object types having varying features, the system implementing a generic object recommendation engine for scoring objects and recommending the objects to users of the social networking system. In particular embodiments, the user and content object features are fed as inputs into a heuristic model that generates an expected value for the content object and user. In particular embodiments, the object recommendation engine includes an online learner that may log a user's actions after the initial impression to determine the relatively degree of interest to the user.

    摘要翻译： 在一个实施例中，系统包括实现包含大量异构对象类型的社交网络环境的一个或多个计算系统，所述多个对象类型中的每一个具有不同的特征，所述系统实现用于评分对象的通用对象推荐引擎， 向社交网络系统的用户推荐对象。 在特定实施例中，用户和内容对象特征作为输入被馈送到产生内容对象和用户的期望值的启发式模型中。 在特定实施例中，对象推荐引擎包括在线学习者，其可以在初始印象之后记录用户的动作以确定对用户的相对程度的兴趣。

    Real-time online-learning object recommendation engine
    7.
    发明授权
    Real-time online-learning object recommendation engine 有权

    公开(公告)号：US09773063B2

    公开(公告)日：2017-09-26

    申请号：US13313984

    申请日：2011-12-07

    申请人： Yanxin Shi ,  Andrey Goder ,  David Ye

    发明人： Yanxin Shi ,  Andrey Goder ,  David Ye

    IPC分类号： G06F17/30

    CPC分类号： G06F17/30867

    摘要： In one embodiment, a system includes one or more computing systems that implement a social networking environment containing a large number of heterogeneous objects type, each of the plurality of object types having varying features, the system implementing a generic object recommendation engine for scoring objects and recommending the objects to users of the social networking system. In particular embodiments, the user and content object features are fed as inputs into a heuristic model that generates an expected value for the content object and user. In particular embodiments, the object recommendation engine includes an online learner that may log a user's actions after the initial impression to determine the relatively degree of interest to the user.

    AUTOMATED EVALUATION OF PROGRAMMING CODE
    8.
    发明申请
    AUTOMATED EVALUATION OF PROGRAMMING CODE 审中-公开
    自动评估编程代码

    公开(公告)号：US20140113257A1

    公开(公告)日：2014-04-24

    申请号：US13655201

    申请日：2012-10-18

    申请人： Alexey N. Spiridonov ,  Andrey Goder

    发明人： Alexey N. Spiridonov ,  Andrey Goder

    IPC分类号： G09B19/00

    CPC分类号： G09B19/0053 ,  G09B19/00

    摘要： Evaluating code is disclosed. A configuration associated with a programming problem is determined. A random input data is generated. The programming problem based at least in part on the determined configuration is provided. An output data that corresponds to the random input data is received. The output data was generated by a code responsive to the programming problem. The output data is evaluated.

    摘要翻译： 披露评估代码。 确定与编程问题相关联的配置。 生成随机输入数据。 提供至少部分基于所确定的配置的编程问题。 接收对应于随机输入数据的输出数据。 输出数据由响应编程问题的代码生成。 对输出数据进行评估。