公开(公告)号：US20170286865A1

公开(公告)日：2017-10-05

申请号：US15091449

申请日：2016-04-05

Applicant: Facebook, Inc.

Inventor： Miaoqing Fang ,  Guven Burc Arpat ,  Brendan Michael Viscomi ,  Shuye Wu ,  Varun Singh ,  Shuo Shen ,  Anthony Victor Paves

IPC: G06N99/00 ,  G06Q50/00 ,  G06F17/30

CPC classification number: G06N20/00 ,  G06F16/24578 ,  G06F16/248 ,  G06Q10/063112 ,  G06Q10/105 ,  G06Q50/01

Abstract: Systems, methods, and non-transitory computer readable media are configured to determine scores regarding suitability of connections of a user for employment with an organization with which the user is employed based on a first machine learning model. Job titles for which the connections are suited are determined based on a second machine learning model. A user interface for presenting in real time information relating to the connections and associated job titles determined for the connections is generated.

公开(公告)号：US10057349B2

公开(公告)日：2018-08-21

申请号：US14939850

申请日：2015-11-12

Applicant: Facebook, Inc.

Inventor： Neil A. Kodner ,  Jason Sundram ,  Guven Burc Arpat

IPC: H04L29/08

CPC classification number: H04L67/1097 ,  H04L67/22 ,  H04W4/21

Abstract: Some embodiments include a stream consolidation engine in a social networking system. The stream consolidation engine can receive two or more input data streams (e.g., an activity record data stream and an application service output stream) from the social networking system. The stream consolidation engine can merge an activity record from the activity record data stream with at least a data record from the input data streams (e.g., from the activity record data stream or the application service output stream) to create a conglomerate data record. The stream consolidation engine can supplement the conglomerate data record with asynchronous information from a data storage or derivative data computed based on content in or referenced by the conglomerate data record. The stream consolidation engine can publish the conglomerate data record in a consolidated data stream. The consolidated data stream can be substantially synchronous to at least one of the input data streams.

公开(公告)号：US20170142200A1

公开(公告)日：2017-05-18

申请号：US14939850

申请日：2015-11-12

Applicant: Facebook, Inc.

Inventor： Neil A. Kodner ,  Jason Sundram ,  Guven Burc Arpat

IPC: H04L29/08

CPC classification number: H04L67/1097 ,  H04L67/22 ,  H04W4/21

Abstract: Some embodiments include a stream consolidation engine in a social networking system. The stream consolidation engine can receive two or more input data streams (e.g., an activity record data stream and an application service output stream) from the social networking system. The stream consolidation engine can merge an activity record from the activity record data stream with at least a data record from the input data streams (e.g., from the activity record data stream or the application service output stream) to create a conglomerate data record. The stream consolidation engine can supplement the conglomerate data record with asynchronous information from a data storage or derivative data computed based on content in or referenced by the conglomerate data record. The stream consolidation engine can publish the conglomerate data record in a consolidated data stream. The consolidated data stream can be substantially synchronous to at least one of the input data streams.

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。

公开(公告)号：US20160140620A1

公开(公告)日：2016-05-19

申请号：US14542397

申请日：2014-11-14

Applicant: Facebook, Inc.

Inventor： Michael Desmond Pinkowish ,  Deniz Demir ,  Alexandra Louise Krakaris ,  Liang He ,  Yingsheng Gao ,  Islam Farid Hamed AbdelRahman ,  Ajoy Joseph Frank ,  Reid Steven Gershbein ,  Srikant Ramakrishna Ayyar ,  Guven Burc Arpat ,  Michael Lee Develin ,  Michael Nicholas Hudack ,  Maxim Sokolov ,  Jonathan Shottan ,  Wenrui Zhao

IPC: G06Q30/02 ,  G06F17/30

CPC classification number: G06Q30/0269 ,  G06F16/9535

Abstract: A social networking system receives a selection of user characteristics defining a benchmark audience and a target audience, and generates audience metrics that compare the audiences across a set of user characteristics. These user characteristics include demographics, interests, purchasing activity, and actions on the social networking system. The audience metrics are provided to an advertiser who may select additional user characteristics to refine the benchmark or target audiences. The audience metrics may include an affinity score that compares the audience metrics for a particular type of interaction, and may normalize the frequency of interactions relative to interactions of the audience as a whole. Advertisers may use the defined audiences to establish targeting criteria for an advertisement, and may use existing targeting criteria to seed the selection of an audience.

Abstract translation: 社交网络系统接收定义基准受众和目标受众的用户特征选择，并生成与一组用户特征相比较的观众指标。 这些用户特征包括人口统计，兴趣，购买活动以及社交网络系统上的操作。 观众指标被提供给可以选择附加用户特征来改进基准或目标受众的广告客户。 观众指标可以包括比较特定类型的交互的观众度量的亲和度分数，并且可以规范相对于整体观众的交互的交互频率。 广告商可以使用定义的观众来建立广告的定位标准，并且可以使用现有的定位标准来选择观众。