公开(公告)号：US09357022B1

公开(公告)日：2016-05-31

申请号：US13916502

申请日：2013-06-12

Applicant: Google Inc.

Inventor： Linus Page Chou ,  Jacob Burton Matthews ,  Paul Baker ,  Jonathan Klem ,  Jige Yu ,  James Hyunsoo Koh ,  Maciej Henryk Babinski

IPC: G06F15/16 ,  H04L29/08

CPC classification number: H04L67/22 ,  G06Q50/01

Abstract: A system and machine-implemented method for providing effectiveness indications for social networking activity including receiving a request to provide an effectiveness score, identifying a plurality of actions performed with respect to the social networking activity by one or more other users exposed to the social networking activity, determining the total number of unique users performing the action, calculating an activity score for the social networking activity based on the determined number of users, determining a number of the users exposed to the social networking activity, calculating an effectiveness score for the social networking activity based on the total activity score and the number of users exposed to the social networking activity, wherein the effectiveness score comprises calculating the effectiveness score at least in part based on a ratio of the activity score to the number of the users exposed to the to the social networking activity.

Abstract translation: 一种用于提供社交网络活动的有效性指示的系统和机器实现的方法，包括接收提供有效性评分的请求，识别暴露于社交网络活动的一个或多个其他用户对社交网络活动执行的多个动作 ，确定执行所述动作的唯一用户的总数，基于所确定的用户数量来计算所述社交网络活动的活动分数，确定暴露于所述社交网络活动的用户的数量，计算所述社交网络的有效性得分 基于总活动得分和暴露于社交网络活动的用户数量的活动，其中所述有效性评分包括至少部分地基于活动分数与暴露于所述社交网络的用户的数量的比率来计算所述有效性得分 社交网络活动。

公开(公告)号：US10021202B1

公开(公告)日：2018-07-10

申请号：US14334187

申请日：2014-07-17

Applicant: Google Inc.

Inventor： Mayur Venktesh Deshpande ,  Jacob Burton Matthews ,  Kasem Marifet ,  James Lee Wogulis

IPC: H04L29/08 ,  H04L12/26 ,  H04L12/853 ,  H04L12/841

CPC classification number: H04L67/26 ,  G06F11/3048 ,  G06F11/3072 ,  G06F11/3476 ,  G06F16/2343 ,  G06F17/24 ,  G06F2201/805 ,  G06F2201/835 ,  G06F2201/86 ,  G06F2201/875 ,  G06Q30/0201 ,  H04L43/16 ,  H04L47/2416 ,  H04L47/286 ,  H04L67/22 ,  H04L67/36

Abstract: Configurations for providing a pushed based real-time analytics system are disclosed. The system incorporates a network and distributed database configured to stream real-time analytics data through multiple tiers. The real-time analytics data is routed/pushed through the system without requiring an additional requests from a front-end client. For instance, after the front-end client initiates a query with the real-time analytics system, a pipeline is opened to the front-end client and web site traffic data is pushed without requiring polling or other explicit requests from the front-end client. As incoming web site tracking data communications are received, the incoming web site tracking data communications are automatically routed and pushed through different tiers of the system. Real-time web site tracking data is automatically presented to the front-end client without requiring constant refreshing (which introduces latency) of a web browser or similar client application.