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1. 发明授权

US09317807B1 Various ways to automatically select sharing settings 有权
标题翻译：各种方式自动选择共享设置
公开(公告)号：US09317807B1
公开(公告)日：2016-04-19
申请号：US13197590
申请日：2011-08-03
申请人： Jessica Staddon , Pavani Naishadh Diwanji , Jonathan S. McPhie
发明人： Jessica Staddon , Pavani Naishadh Diwanji , Jonathan S. McPhie
IPC分类号： G06N5/02 , G06N5/04 , G06N99/00
CPC分类号： G06N5/04 , G06F21/00 , G06F21/6245 , G06N99/005 , G06Q50/01 , H04L51/32
摘要： A system and method for predicting one or more sharing settings for a social network user is provided. The relevant user data is received and analyzed. Based on the analysis of the relevant user data, one or more of the user's desired sharing settings is predicted. In some embodiments, statistical analysis is used to analyze and/or predict the user's desired sharing settings. One or more predictions including a suggested sharing setting are generated. In one embodiment, the user's sharing settings are automatically adjusted based on the one or more predictions. In one embodiment, the one or more predictions are sent for display to the user. In one embodiment, feedback is obtained from the user accepting or rejecting the predictions. In one embodiment, the feedback is used to adjust one or more of the algorithms for analyzing the user data, predicting the user's desired sharing settings, or both.
摘要翻译：提供了一种用于预测社交网络用户的一个或多个共享设置的系统和方法。接收和分析相关的用户数据。基于对相关用户数据的分析，预测了一个或多个用户期望的共享设置。在一些实施例中，使用统计分析来分析和/或预测用户期望的共享设置。生成包括建议的共享设置的一个或多个预测。在一个实施例中，基于一个或多个预测自动调整用户的共享设置。在一个实施例中，一个或多个预测被发送以供用户显示。在一个实施例中，从用户接收或拒绝预测获得反馈。在一个实施例中，反馈用于调整用于分析用户数据，预测用户期望的共享设置或两者的一种或多种算法。

2. 发明授权

US08826446B1 System and method for applying privacy settings to a plurality of applications 有权
标题翻译：将隐私设置应用于多个应用的系统和方法
公开(公告)号：US08826446B1
公开(公告)日：2014-09-02
申请号：US13009235
申请日：2011-01-19
申请人： Sean Y. Liu , Alex M. Cook, III , Matthew Stephen Steiner , Jonathan S. McPhie , Pavani Naishadh Diwanji , David M. Cohen
发明人： Sean Y. Liu , Alex M. Cook, III , Matthew Stephen Steiner , Jonathan S. McPhie , Pavani Naishadh Diwanji , David M. Cohen
IPC分类号： H04L29/06 , G06F21/00
CPC分类号： G06F21/6245 , G06F2221/2117 , G06F2221/2141 , H04L63/04 , H04L63/102 , H04L67/306
摘要： A system and method for adjusting privacy protection for a user in a plurality of applications is disclosed. A privacy protection request is sent to a user device. In one embodiment, the request is displayed on user device in the form of a pop-up window. In another embodiment, the request is displayed in a privacy settings area. The privacy protection request includes a plurality of protection levels. Once a protection level is selected the protection level is sent back and received by the system. Privacy settings are adjusted according to the selected privacy protection level based on information stored in a master template. In some embodiments, the privacy protection level is translated to associated privacy settings. Once the privacy settings have been adjusted, the privacy settings are applied to a plurality of online applications associated with the user based on the privacy protection level selected.
摘要翻译：公开了一种用于在多个应用中调整用户的隐私保护的系统和方法。向用户设备发送隐私保护请求。在一个实施例中，请求以弹出窗口的形式显示在用户设备上。在另一个实施例中，该请求显示在隐私设置区域中。隐私保护请求包括多个保护级别。一旦选择了保护级别，则系统将发回和接收保护级别。根据存储在主模板中的信息，根据所选择的隐私保护级别调整隐私设置。在一些实施例中，将隐私保护级别转换为相关联的隐私设置。一旦隐私设置被调整，基于所选择的隐私保护级别，将隐私设置应用于与用户相关联的多个在线应用。

3. 发明授权

US08909711B1 System and method for generating privacy-enhanced aggregate statistics 有权
标题翻译：用于生成隐私增强聚合统计的系统和方法
公开(公告)号：US08909711B1
公开(公告)日：2014-12-09
申请号：US13169774
申请日：2011-06-27
申请人： Jessica Staddon , Pavani Naishadh Diwanji , Moti Yung , Daniel Dulitz
发明人： Jessica Staddon , Pavani Naishadh Diwanji , Moti Yung , Daniel Dulitz
IPC分类号： G06F15/16
CPC分类号： G06Q50/01
摘要： A system and method for generating privacy-enhanced aggregate statistics within a social network system is provided. Data is collected and processed to gather information to generate the aggregate statistics. A threshold is assigned. The threshold includes a criterion used in making a determination on what aggregate statistic will be generated. In some embodiments, the threshold is a numerical value. In some embodiments, the numerical value, or quantitative data is then translated into qualitative descriptors. In some embodiments, noise is then added to randomize the assigned threshold. In other embodiments, noise is added to the collected data. In some embodiments, checks to guard against attacks from adversarial users are performed. Examples of indications of adversarial behavior include, but are not limited to, manipulation of profiles, continuous manipulation of affinity groups, and manipulation of preferences for one or more users. The threshold is applied and aggregate statistics are generated.
摘要翻译：提供了一种用于在社交网络系统内生成隐私增强聚合统计的系统和方法。收集和处理数据以收集信息以生成聚合统计信息。分配了一个阈值。阈值包括用于确定将生成什么样的统计量的标准。在一些实施例中，阈值是数值。在一些实施例中，数值或定量数据然后被转换成定性描述符。在一些实施例中，然后添加噪声以随机分配所分配的阈值。在其他实施例中，噪声被添加到收集的数据。在一些实施例中，执行用于防止来自对抗用户的攻击的检查。对抗行为的示例的示例包括但不限于轮廓的操纵，亲和力组的连续操纵以及对一个或多个用户的偏好的操纵。应用阈值并生成聚合统计信息。

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