UNIFIED AUCTION MODEL FOR SUGGESTING RECOMMENDATION UNITS AND AD UNITS
    1.
    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

    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。

    PROXIMITY-ACTIVATED RELEASE FOR DOCKED ELECTRO-OPTICAL READER
    2.
    发明申请
    PROXIMITY-ACTIVATED RELEASE FOR DOCKED ELECTRO-OPTICAL READER 审中-公开
    用于锁定电光读取器的临时激活释放

    公开(公告)号:US20110096512A1

    公开(公告)日:2011-04-28

    申请号:US12606353

    申请日:2009-10-27

    IPC分类号: H05K7/00 G01C21/02

    CPC分类号: G06K7/1091 G06K7/10881

    摘要: A portable housing of a moving laser beam reader or an imaging reader is held by an operator in a handheld mode during electro-optical reading of symbols. A docking station supports the housing in a docked state when the housing is not in the handheld mode. At least one proximity sensor is supported by the housing and/or the docking station. The proximity sensor detects the operator's remoteness from the sensor to lock the housing to the docking station in the docked state, and detects the operator's proximity to the sensor to release the housing from the docking station.

    摘要翻译: 移动激光束读取器或成像读取器的便携式外壳在符号的电光学读取期间由手持模式保持。 当外壳不处于手持模式时,对接站支撑处于对接状态的外壳。 至少一个接近传感器由壳体和/或对接站支撑。 接近传感器检测到操作者距离传感器的偏远距离,以将壳体锁定在停靠状态的对接站,并检测操作者与传感器的距离,以便从对接站释放外壳。

    Real-time online-learning object recommendation engine

    公开(公告)号:US09773063B2

    公开(公告)日:2017-09-26

    申请号:US13313984

    申请日:2011-12-07

    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.

    Real-Time Online-Learning Object Recommendation Engine
    4.
    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

    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。