公开(公告)号：US20130282813A1

公开(公告)日：2013-10-24

申请号：US13455054

申请日：2012-04-24

申请人： Samuel Lessin ,  Michael Hudack ,  Aaron Sittig ,  Daniel Klatzko Gibson ,  Benjamin E. Hiller ,  Thomas Andrew Watson ,  Wei Yeh

发明人： Samuel Lessin ,  Michael Hudack ,  Aaron Sittig ,  Daniel Klatzko Gibson ,  Benjamin E. Hiller ,  Thomas Andrew Watson ,  Wei Yeh

IPC分类号： G06F15/16

CPC分类号： G06Q50/01 ,  G06Q10/063 ,  G06Q10/101

摘要： A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

摘要翻译： 社交图可以被建模为索赔的集合。 每个索赔与作者，观众和关于事实的断言有关。 概率信息可以从各种来源收集用于索赔，使得社交网络系统能够评估在权利要求中作出的断言的真实性。 用户声明的简档信息可以被评估为声明。 用户，实体或应用程序可以对社交网络系统中所做的任何声明提出索赔。 可以基于对其历史断言的评估来确定用户的声望分数。 可以使用启发式分析，回归分析和机器学习方法的概率预测模型来评估索赔的真实性。 可以基于作出权利要求的上下文向用户提供基于权利要求的用户简档。 观众可以查看有关用户的声明，例如用户的个人资料，联系信息，专业知识和兴趣。

公开(公告)号：US10325323B2

公开(公告)日：2019-06-18

申请号：US13455050

申请日：2012-04-24

申请人： Samuel Lessin ,  Michael Hudack ,  Aaron Sittig ,  Daniel Klatzko Gibson ,  Benjamin E. Hiller ,  Thomas Andrew Watson ,  Wei Zhong Yeh

发明人： Samuel Lessin ,  Michael Hudack ,  Aaron Sittig ,  Daniel Klatzko Gibson ,  Benjamin E. Hiller ,  Thomas Andrew Watson ,  Wei Zhong Yeh

IPC分类号： G06F17/27 ,  G06Q50/00 ,  H04L12/58

摘要： A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

公开(公告)号：US20130282811A1

公开(公告)日：2013-10-24

申请号：US13455050

申请日：2012-04-24

申请人： Samuel Lessin ,  Michael Hudack ,  Aaron Sittig ,  Daniel Klatzko Gibson ,  Benjamin E. Hiller ,  Thomas Andrew Watson ,  Wei Zhong Yeh

发明人： Samuel Lessin ,  Michael Hudack ,  Aaron Sittig ,  Daniel Klatzko Gibson ,  Benjamin E. Hiller ,  Thomas Andrew Watson ,  Wei Zhong Yeh

IPC分类号： G06F15/16

CPC分类号： G06Q50/01

摘要： A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

摘要翻译： 社交图可以被建模为索赔的集合。 每个索赔与作者，观众和关于事实的断言有关。 概率信息可以从各种来源收集用于索赔，使得社交网络系统能够评估在权利要求中作出的断言的真实性。 用户声明的简档信息可以被评估为声明。 用户，实体或应用程序可以对社交网络系统中所做的任何声明提出索赔。 可以基于对其历史断言的评估来确定用户的声望分数。 可以使用启发式分析，回归分析和机器学习方法的概率预测模型来评估索赔的真实性。 可以基于作出权利要求的上下文向用户提供基于权利要求的用户简档。 观众可以查看有关用户的声明，例如用户的个人资料，联系信息，专业知识和兴趣。

公开(公告)号：US20130013700A1

公开(公告)日：2013-01-10

申请号：US13179548

申请日：2011-07-10

申请人： Aaron Sittig ,  Samuel Lessin

发明人： Aaron Sittig ,  Samuel Lessin

IPC分类号： G06F15/16

CPC分类号： H04L67/22 ,  G06F17/30867 ,  G06Q10/10

摘要： A social networking system manages the accessibility of content items provided by users and directed to various audiences in the social networking system. An author provides the social networking system with a content item, a content item tag indicating an association between the content item and a tagged user, and a definition of a first audience who may view the content item. The social networking system then allows the tagged user to provide a definition of a second audience who may view the content item, where the second audience may contains users who are not in the first audience defined by the original author. The social networking system then determines whether a viewing user may view the posted content item (and tag) based on whether the viewing user is in at least one of the first audience and the second audience.

摘要翻译： 社交网络系统管理用户提供的内容项目的可访问性，并针对社交网络系统中的各种受众。 作者向社交网络系统提供内容项目，指示内容项目与标记用户之间的关联的内容项目标签以及可以查看内容项目的第一听众的定义。 社交网络系统然后允许标记的用户提供可以查看内容项目的第二受众的定义，其中第二受众可能包含不在原始作者定义的第一受众群体中的用户。 社交网络系统然后基于观看用户是否在第一观众和第二观众中的至少一个中确定观看用户是否可以查看所发布的内容项（和标签）。

公开(公告)号：US20130282812A1

公开(公告)日：2013-10-24

申请号：US13455051

申请日：2012-04-24

申请人： Samuel Lessin ,  Aaron Sittig ,  Justin Alexander Shaffer

发明人： Samuel Lessin ,  Aaron Sittig ,  Justin Alexander Shaffer

IPC分类号： G06F15/16

CPC分类号： H04L63/10 ,  G06Q50/01

摘要： A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

摘要翻译： 社交图可以被建模为索赔的集合。 每个索赔与作者，观众和关于事实的断言有关。 概率信息可以从各种来源收集用于索赔，使得社交网络系统能够评估在权利要求中作出的断言的真实性。 用户声明的简档信息可以被评估为声明。 用户，实体或应用程序可以对社交网络系统中所做的任何声明提出索赔。 可以基于对其历史断言的评估来确定用户的声望分数。 可以使用启发式分析，回归分析和机器学习方法的概率预测模型来评估索赔的真实性。 可以基于作出权利要求的上下文向用户提供基于权利要求的用户简档。 观众可以查看有关用户的声明，例如用户的个人资料，联系信息，专业知识和兴趣。

公开(公告)号：US08756278B2

公开(公告)日：2014-06-17

申请号：US13179548

申请日：2011-07-10

申请人： Aaron Sittig ,  Samuel Lessin

发明人： Aaron Sittig ,  Samuel Lessin

IPC分类号： G06F15/16 ,  H04L29/08 ,  G06F17/30

CPC分类号： H04L67/22 ,  G06F17/30867 ,  G06Q10/10

摘要： A social networking system manages the accessibility of content items provided by users and directed to various audiences in the social networking system. An author provides the social networking system with a content item, a content item tag indicating an association between the content item and a tagged user, and a definition of a first audience who may view the content item. The social networking system then allows the tagged user to provide a definition of a second audience who may view the content item, where the second audience may contains users who are not in the first audience defined by the original author. The social networking system then determines whether a viewing user may view the posted content item (and tag) based on whether the viewing user is in at least one of the first audience and the second audience.

摘要翻译： 社交网络系统管理用户提供的内容项目的可访问性，并针对社交网络系统中的各种受众。 作者向社交网络系统提供内容项目，指示内容项目与标记用户之间的关联的内容项目标签以及可以查看内容项目的第一听众的定义。 社交网络系统然后允许标记的用户提供可以查看内容项目的第二受众的定义，其中第二受众可能包含不在原始作者定义的第一受众群体中的用户。 社交网络系统然后基于观看用户是否在第一观众和第二观众中的至少一个中确定观看用户是否可以查看所发布的内容项（和标签）。

公开(公告)号：US20130282810A1

公开(公告)日：2013-10-24

申请号：US13455047

申请日：2012-04-24

申请人： Samuel Lessin ,  Aaron Sittig ,  Justin Alexander Shaffer

发明人： Samuel Lessin ,  Aaron Sittig ,  Justin Alexander Shaffer

IPC分类号： G06F15/16

CPC分类号： G06Q50/01

摘要： A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

摘要翻译： 社交图可以被建模为索赔的集合。 每个索赔与作者，观众和关于事实的断言有关。 概率信息可以从各种来源收集用于索赔，使得社交网络系统能够评估在权利要求中作出的断言的真实性。 用户声明的简档信息可以被评估为声明。 用户，实体或应用程序可以对社交网络系统中所做的任何声明提出索赔。 可以基于对其历史断言的评估来确定用户的声望分数。 可以使用启发式分析，回归分析和机器学习方法的概率预测模型来评估索赔的真实性。 可以基于作出权利要求的上下文向用户提供基于权利要求的用户简档。 观众可以查看有关用户的声明，例如用户的个人资料，联系信息，专业知识和兴趣。

公开(公告)号：US20130282504A1

公开(公告)日：2013-10-24

申请号：US13455056

申请日：2012-04-24

申请人： Samuel Lessin ,  Michael Richter ,  Aaron Sittig

发明人： Samuel Lessin ,  Michael Richter ,  Aaron Sittig

IPC分类号： G06F21/24 ,  G06Q30/06

CPC分类号： G06Q50/01 ,  G06F17/3089 ,  G06Q30/02 ,  G06Q50/184 ,  H04L51/32

摘要： A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.

摘要翻译： 社交图可以被建模为索赔的集合。 每个索赔与作者，观众和关于事实的断言有关。 概率信息可以从各种来源收集用于索赔，使得社交网络系统能够评估在权利要求中作出的断言的真实性。 用户声明的简档信息可以被评估为声明。 用户，实体或应用程序可以对社交网络系统中所做的任何声明提出索赔。 可以基于对其历史断言的评估来确定用户的声望分数。 可以使用启发式分析，回归分析和机器学习方法的概率预测模型来评估索赔的真实性。 可以基于作出权利要求的上下文向用户提供基于权利要求的用户简档。 观众可以查看有关用户的声明，例如用户的个人资料，联系信息，专业知识和兴趣。

公开(公告)号：US10296159B2

公开(公告)日：2019-05-21

申请号：US13239351

申请日：2011-09-21

申请人： Drew W. Hamlin ,  William Joseph Flynn, III ,  Burak Guzel ,  Samuel Lessin ,  Paul M. McDonald ,  Stefan Parker ,  Aaron Sittig ,  Arun Vijayvergiya ,  Zizhuang Yang ,  Mark E. Zuckerberg

发明人： Drew W. Hamlin ,  William Joseph Flynn, III ,  Burak Guzel ,  Samuel Lessin ,  Paul M. McDonald ,  Stefan Parker ,  Aaron Sittig ,  Arun Vijayvergiya ,  Zizhuang Yang ,  Mark E. Zuckerberg

IPC分类号： G06F17/00 ,  G06F3/0481 ,  G06Q10/10 ,  G06Q50/00

摘要： The invention provides a display interface in a social networking system that enables the presentation of information related to a user in a timeline or map view. The system accesses information about a user of a social networking system, including both data about the user and social network activities related to the user. The system then selects one or more of these pieces of data and/or activities from a certain time period and gathers them into timeline units based on their relatedness and their relevance to users. These timeline units are ranked by relevance to the user, and are used to generate a timeline or map view for the user containing visual representations of the timeline units organized by location or time. The timeline or map view is then provided to other users of the social networking system that wish to view information about the user.

公开(公告)号：US09978106B2

公开(公告)日：2018-05-22

申请号：US13455056

申请日：2012-04-24

申请人： Samuel Lessin ,  Michael Richter ,  Aaron Sittig

发明人： Samuel Lessin ,  Michael Richter ,  Aaron Sittig

IPC分类号： G06Q50/00 ,  H04L12/58 ,  G06Q30/02 ,  G06Q50/18 ,  G06F17/30

CPC分类号： G06Q50/01 ,  G06F17/3089 ,  G06Q30/02 ,  G06Q50/184 ,  H04L51/32

摘要： A social graph may be modeled as a collection of claims. Each claim is associated with an author, an audience, and an assertion about a fact. Probabilistic information may be collected from various sources for a claim, enabling a social networking system to evaluate a truthfulness of the assertion made in the claim. User-declared profile information may be evaluated as claims. A user, entity, or application may make claims about any assertions made in the social networking system. Reputation scores may be determined for users based on evaluations of their historical assertions. Claims may be evaluated for truthfulness using a probabilistic prediction model using heuristics analysis, regression analysis, and machine learning methods. A claims-based profile of users may be provided to viewers based on the contexts in which the claims were made. Viewers may view claims made about users, such as the users' biographical information, contact information, expertise, and interests.