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：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。