公开(公告)号：US10394953B2

公开(公告)日：2019-08-27

申请号：US14802890

申请日：2015-07-17

Applicant: Facebook, Inc.

Inventor： Satyavarta Satyavarta ,  Guven Burc Arpat ,  Mui Thu Tran

IPC: G06F17/27 ,  H04L12/58

Abstract: Some embodiments include a method of detecting memes, as “key terms,” in a chatter aggregation in a social networking system. The method can include aggregating user-generated content objects within the social networking system into the chatter aggregation according to a set of filters. A meme analysis engine can define a target group within the chatter aggregation to compare against a background group. The meme analysis engine can extract key terms from textual content of the target group. The meme analysis engine can determine a relevancy rank of a term in the key terms based on an accounting of the term in the textual content of the target group and a linguistic relevance score of the term according to a linguistic model.

公开(公告)号：US20170024455A1

公开(公告)日：2017-01-26

申请号：US14808320

申请日：2015-07-24

Applicant: Facebook, Inc.

Inventor： Spencer Powell ,  Boris Pierre Arnoux ,  Sue Ann Hong ,  Daniel K. Chapsky ,  Adam Scott Berger ,  Nikhil Girish Nawathe ,  Christopher William Jones ,  Justin Thomas Palumbo ,  Edward R. Gan ,  Rituraj Kirti ,  Mui Thu Tran ,  Yujie Yang

IPC: G06F17/30 ,  H04L29/08

CPC classification number: G06F16/285 ,  H04L67/1046 ,  H04L67/306

Abstract: An online system receives information from an entity identifying a set of users of the online system and groups users included in the set into clusters based on their similarities using a clustering model or algorithm (e.g., k-means clustering) and based on one or more parameters specified by the entity. The online system generates expanded clusters that include additional users in one or more clusters based on similarities between the additional users and users in various clusters. If an additional user is included in multiple expanded clusters, the online assigns the additional user exclusively to an expanded cluster that best fits the user.

Abstract translation: 在线系统从标识一组在线系统的用户的实体接收信息，并且使用聚类模型或算法（例如，k均值聚类），并且基于一个或多个 参数由实体指定。 在线系统基于各种群集中的附加用户和用户之间的相似性，生成扩展群集，其中包括一个或多个群集中的其他用户。 如果多个扩展群集中包含其他用户，则在线将额外的用户专门分配给最适合用户的扩展群集。

公开(公告)号：US20180225703A1

公开(公告)日：2018-08-09

申请号：US15425515

申请日：2017-02-06

Applicant: Facebook, Inc.

Inventor： Bogdan State ,  Mui Thu Tran ,  Cristele Lartigue ,  Janet Lynn Wiener ,  Erik Bjorn Vorhes

IPC: G06Q30/02 ,  G06Q50/00

CPC classification number: G06Q30/0242 ,  G06Q50/01

Abstract: A method of generating a synthetic content feed includes receiving a request to display a synthetic content feed for a class of users of a social networking system, identifying a first user and a second user based on profile data for the first user and second user in the social networking system, constructing a first post of synthetic content feed representative of a first post in the content feed of the first user, constructing a second post of synthetic content feed representative of a second post in the content feed of the second user, and providing the synthetic content feed for display.

公开(公告)号：US20170017638A1

公开(公告)日：2017-01-19

申请号：US14802890

申请日：2015-07-17

Applicant: Facebook, Inc.

Inventor： Satyavarta Satyavarta ,  Guven Burc Arpat ,  Mui Thu Tran

IPC: G06F17/27 ,  H04L12/58

CPC classification number: G06F17/278 ,  G06F17/272 ,  G06F17/274 ,  G06F17/2785 ,  G06Q50/01 ,  H04L51/12 ,  H04L51/32

Abstract: Some embodiments include a method of detecting memes, as “key terms,” in a chatter aggregation in a social networking system. The method can include aggregating user-generated content objects within the social networking system into the chatter aggregation according to a set of filters. A meme analysis engine can define a target group within the chatter aggregation to compare against a background group. The meme analysis engine can extract key terms from textual content of the target group. The meme analysis engine can determine a relevancy rank of a term in the key terms based on an accounting of the term in the textual content of the target group and a linguistic relevance score of the term according to a linguistic model.

Abstract translation: 一些实施例包括在社交网络系统的混沌聚合中检测模块的方法作为“关键术语”。 该方法可以包括根据一组滤波器将社交网络系统内的用户生成的内容对象聚合成抖动聚合。 meme分析引擎可以定义chatter聚合中的目标组以与背景组进行比较。 meme分析引擎可以从目标组的文本内容中提取关键术语。 模因分析引擎可以基于目标群体的文本内容中的术语的会计以及根据语言模型的该术语的语言相关性得分来确定关键术语中的术语的相关性等级。

公开(公告)号：US20160358086A1

公开(公告)日：2016-12-08

申请号：US14732534

申请日：2015-06-05

Applicant: Facebook, Inc.

Inventor： Jason Sundram ,  Neil A. Kodner ,  Mui Thu Tran ,  Guangdeng Liao ,  Justin Thomas Palumbo ,  Guven Burc Arpat ,  Amit Bahl

IPC: G06N5/04 ,  H04L29/08

CPC classification number: H04L67/22 ,  G06F17/2785 ,  G06N20/00 ,  H04L67/303

Abstract: Some embodiments include a method of performing a content analysis study around a central theme utilizing a concept study system. The concept study system can generate a classifier machine corresponding to the content analysis study based on a super topic taxonomy including one or more concept identifiers. The concept study system can process a content object, associated with a user activity in a social networking system, through the classifier machine to determine whether to assign the user activity to the content analysis study. The concept study system can aggregate at least an attribute derived from the user activity in a study-specific data container associated with the content analysis study and compute a statistical or analytical insight based on aggregated attributes in the study-specific data container.

Abstract translation: 一些实施例包括利用概念研究系统围绕中心主题执行内容分析研究的方法。 概念研究系统可以基于包含一个或多个概念标识符的超级主题分类法生成与内容分析研究相对应的分类机。 概念研究系统可以通过分类机处理与社交网络系统中的用户活动相关联的内容对象，以确定是否将用户活动分配给内容分析研究。 概念研究系统可以将至少从用户活动导出的属性聚合在与内容分析研究相关联的特定于研究的数据容器中，并基于研究特定数据容器中的聚合属性计算统计或分析洞察。