Combination of Social Networking Data with Other Data Sets for Estimation of Viewership Statistics
    2.
    发明申请
    Combination of Social Networking Data with Other Data Sets for Estimation of Viewership Statistics 审中-公开
    社会网络数据与其他数据集的组合用于估计观众统计

    公开(公告)号:US20130238421A1

    公开(公告)日:2013-09-12

    申请号:US13864993

    申请日:2013-04-17

    IPC分类号: G06Q30/02

    摘要: Embodiments of the invention combine information from different data sets, such as social networks, advertising networks, and/or panels, each data set comprising statistics about past viewership of content (e.g., advertisements). The result of the combination is a model that, when applied to statistics about viewing of particular content, produces viewing statistics about the particular content that are more accurate than the data of any given one of the different data sets when taken in isolation.

    摘要翻译: 本发明的实施例组合来自不同数据集的信息,例如社交网络,广告网络和/或面板,每个数据集包括关于过去内容(例如广告)的观看次数的统计数据。 组合的结果是当应用于关于特定内容的观看的统计信息时,产生关于特定内容的查看统计信息,所述内容比单独采用的任何给定的一个不同数据集的数据更准确。

    Determining advertising effectiveness outside of a social networking system
    4.
    发明授权
    Determining advertising effectiveness outside of a social networking system 有权
    确定社交网络系统之外的广告效果

    公开(公告)号:US08874639B2

    公开(公告)日:2014-10-28

    申请号:US12977038

    申请日:2010-12-22

    IPC分类号: G06F15/16 G06Q50/00 G06Q30/02

    摘要: A social networking system or other user registration site builds a log of exposures by users to advertisements outside of the user registration site to determine their effectiveness. For each user exposed to an advertisement, a log entry is created indicating that the user has been exposed to the advertisement. Tracking pixels are embedded into advertisements that, when accessed, enable the social networking system or user registration site to log access to the advertisement by the user. From the log files, the user registration site identifies exposed users and selects unexposed users with similar demographics and/or behavior information to generate a control group. The two groups can be surveyed about the advertisement to determine its effectiveness. The user exposure information also can be used to retarget advertisements, to measure advertising effectiveness on connections of exposed users, and to measure actions of exposed users.

    摘要翻译: 社交网络系统或其他用户注册站点建立用户对用户注册站点外的广告的曝光日志,以确定其有效性。 对于暴露于广告的每个用户,创建指示用户已经暴露于广告的日志条目。 跟踪像素被嵌入到广告中,当被访问时,使社交网络系统或用户注册站点能够记录用户对广告的访问。 从日志文件中,用户注册站点识别暴露的用户并且选择具有类似人口统计信息和/或行为信息的未被暴露的用户来生成控制组。 这两个群体可以对广告进行调查,以确定其有效性。 用户曝光信息还可以用于重新定位广告,以测量暴露用户的连接上的广告效果,并且测量暴露的用户的动作。

    ASSIGNING SOCIAL NETWORKING SYSTEM USERS TO HOUSEHOLDS
    5.
    发明申请
    ASSIGNING SOCIAL NETWORKING SYSTEM USERS TO HOUSEHOLDS 有权
    组织社会网络系统用户家庭用品

    公开(公告)号:US20130151527A1

    公开(公告)日:2013-06-13

    申请号:US13677885

    申请日:2012-11-15

    IPC分类号: G06F17/30

    摘要: Users of a social networking system are assigned to households using prediction models that rely, in part, on user profile information and social graph data. Information about users may be received by a social networking system through various channels (e.g., declared/profile information, user history, IP addresses, Global Positioning System (GPS) data from check-in events and/or continuously provided by mobile devices, external household information, and/or social information). Scoring models may use statistical analysis of the received user information to predict household membership for users. User attributes, such as previous names, date of birth, social graph data, locations, life events, and check-ins, may be factors in generating confidence scores of predicted household memberships. Weighted scoring models may use machine learning methods for measuring the accuracy of the household membership prediction. The social networking system may use a machine learning algorithm to analyze user information to determine confidence scores for matching potential households.

    摘要翻译: 将社交网络系统的用户分配给使用部分依赖于用户简档信息和社交图表数据的预测模型的家庭。 关于用户的信息可以由社交网络系统通过各种渠道(例如,从签到事件和/或由移动设备连续提供的声明/简档信息,用户历史,IP地址,全球定位系统(GPS)数据)和外部 家庭信息和/或社会信息)。 评分模型可以使用所接收的用户信息的统计分析来预测用户的家庭成员资格。 诸如以前的姓名,出生日期,社交图表数据,地点,生活事件和签到等用户属性可能是产生预测家庭成员资格的信心分数的因素。 加权评分模型可以使用机器学习方法来测量家庭成员预测的准确性。 社交网络系统可以使用机器学习算法来分析用户信息以确定用于匹配潜在家庭的置信度得分。

    Tagging posted content in a social networking system with media information
    6.
    发明授权
    Tagging posted content in a social networking system with media information 有权
    使用媒体信息标记在社交网络系统中发布的内容

    公开(公告)号:US09111317B2

    公开(公告)日:2015-08-18

    申请号:US13332747

    申请日:2011-12-21

    IPC分类号: G06F15/16 G06Q50/00 H04L12/58

    CPC分类号: H04L51/32 G06Q50/01

    摘要: A social networking system allows a user to insert media information into content posted by the user, where the media information identifies a media item that the user is consuming while composing the posted content. When a user of a social networking system composes content via a composer interface, the user may select an option on the composer interface to record audio using a microphone on the user's device. A media item is identified from the recorded audio and information about the identified media item is added to the user's posted content. The system may also update information about the identified media item and the composing user.

    摘要翻译: 社交网络系统允许用户将媒体信息插入到由用户发布的内容中,其中媒体信息标识用户正在消费的媒体项目,同时撰写发布的内容。 当社交网络系统的用户通过作曲者界面构成内容时,用户可以在作曲者界面上选择使用用户设备上的麦克风来录制音频的选项。 从记录的音频识别媒体项目,并且将关于所识别的媒体项目的信息添加到用户的发布内容。 系统还可以更新关于所识别的媒体项目和撰写用户的信息。

    Determining Advertising Effectiveness Bases on a Pseudo-Control Group
    7.
    发明申请
    Determining Advertising Effectiveness Bases on a Pseudo-Control Group 审中-公开
    确定广告有效性基础在伪控制组

    公开(公告)号:US20140114748A1

    公开(公告)日:2014-04-24

    申请号:US13658536

    申请日:2012-10-23

    IPC分类号: G06Q30/02 G06Q50/00

    CPC分类号: G06Q30/0246 G06Q50/01

    摘要: Actions and/or behaviors of social networking system users are observed and used for measuring advertising effectiveness. More specifically, advertisements from an advertising campaign are selectively targeted and presented to specific subsets of social network users and withheld from other subsets of social network users. After the advertisements are presented, actions performed by users in the different subsets are be identified and analyzed to determine metrics describing the effectiveness of the particular advertising campaign. In one aspect, the metrics are based on a pseudo-control group.

    摘要翻译: 观察和使用社交网络系统用户的行为和/或行为来衡量广告效果。 更具体地,来自广告活动的广告被选择性地定向并呈现给社交网络用户的特定子集,并从社交网络用户的其他子集中扣留。 在呈现广告之后,将识别和分析用户在不同子集中执行的动作,以确定描述特定广告活动的有效性的度量。 在一个方面,度量基于伪控制组。

    SEQUENCING DISPLAY ITEMS IN A SOCIAL NETWORKING SYSTEM
    8.
    发明申请
    SEQUENCING DISPLAY ITEMS IN A SOCIAL NETWORKING SYSTEM 审中-公开
    在社交网络系统中的顺序显示项目

    公开(公告)号:US20130204710A1

    公开(公告)日:2013-08-08

    申请号:US13367607

    申请日:2012-02-07

    IPC分类号: G06Q30/02

    CPC分类号: G06Q30/0241 G06Q50/01

    摘要: In one embodiment, the social networking selects a display item to display to a viewing user based on information about the viewing user and a display sequence tree associated with an ad campaign. The display items include advertisements, sponsored stories, and content objects created by users. The information about the user includes the viewing user's interactions, the viewing user's demographic information, and the viewing user's inferred characteristics. A display sequence tree associated with an ad campaign is a hierarchical arrangement of nodes that correspond to display items and represent possible sequences of display items. An ad campaign includes at least one request for a display item.

    摘要翻译: 在一个实施例中,社交网络基于关于观看用户的信息和与广告活动相关联的显示序列树选择显示项目以向观看用户显示。 显示项目包括由用户创建的广告,赞助故事和内容对象。 关于用户的信息包括观看用户的交互,观看用户的人口信息以及观看用户的推断特征。 与广告活动相关联的显示序列树是对应于显示项目并且表示可能的显示项目序列的节点的分层排列。 广告系列至少包含一个显示项目请求。

    Determining Advertising Effectiveness Outside of a Social Networking System
    10.
    发明申请
    Determining Advertising Effectiveness Outside of a Social Networking System 有权
    确定社交网络系统之外的广告效果

    公开(公告)号:US20120166520A1

    公开(公告)日:2012-06-28

    申请号:US12977038

    申请日:2010-12-22

    IPC分类号: G06F15/16

    摘要: A social networking system or other user registration site builds a log of exposures by users to advertisements outside of the user registration site to determine their effectiveness. For each user exposed to an advertisement, a log entry is created indicating that the user has been exposed to the advertisement. Tracking pixels are embedded into advertisements that, when accessed, enable the social networking system or user registration site to log access to the advertisement by the user. From the log files, the user registration site identifies exposed users and selects unexposed users with similar demographics and/or behavior information to generate a control group. The two groups can be surveyed about the advertisement to determine its effectiveness. The user exposure information also can be used to retarget advertisements, to measure advertising effectiveness on connections of exposed users, and to measure actions of exposed users.

    摘要翻译: 社交网络系统或其他用户注册站点建立用户对用户注册站点外的广告的曝光日志,以确定其有效性。 对于暴露于广告的每个用户,创建指示用户已经暴露于广告的日志条目。 跟踪像素被嵌入到广告中,当被访问时,使社交网络系统或用户注册站点能够记录用户对广告的访问。 从日志文件中,用户注册站点识别暴露的用户并且选择具有类似人口统计信息和/或行为信息的未被暴露的用户来生成控制组。 这两个群体可以对广告进行调查,以确定其有效性。 用户曝光信息还可以用于重新定位广告,以测量暴露用户的连接上的广告效果,并且测量暴露的用户的动作。