专利快速检索-快速检索全球专利，免费商用专利数据库-IPRDB

1. 发明授权

US08452851B2 System and method for grouping of users into overlapping clusters in social networks 有权
标题翻译：将用户分组为社交网络中的重叠群集的系统和方法
公开(公告)号：US08452851B2
公开(公告)日：2013-05-28
申请号：US13269502
申请日：2011-10-07
申请人： Igor Kabiljo , Borislav Agapiev , Aleksandar Ilic
发明人： Igor Kabiljo , Borislav Agapiev , Aleksandar Ilic
IPC分类号： G06F15/16
CPC分类号： G06F17/30861
摘要： Members of a social network user's social graph are automatically segregated into overlapping clusters according to patterns of their past communications. Each cluster within the social graph represents a group of members having a high degree of intra-cluster communication or other connection with one another. The clustering is performed according to a sorting or ranking in accordance with non-principal eigenvectors of connectivity matrices describing the intra-cluster communications/connections. The overlapping clusters exhibit maximum internal density and minimum external sparsity.
摘要翻译：社交网络用户的社交图的成员根据其过去通信的模式自动分离为重叠的群集。社交图中的每个集群表示具有高度的集群内通信或彼此的其他连接的一组成员。根据描述集群内通信/连接的连通性矩阵的非本征向量的排序或排序来执行聚类。重叠的簇表现出最大的内部密度和最小的外部稀疏度。

2. 发明申请

US20130013601A1 SYSTEM AND METHOD FOR GROUPING OF USERS INTO OVERLAPPING CLUSTERS IN SOCIAL NETWORKS 有权
标题翻译：将用户分组到社会网络中的重叠集群的系统和方法
公开(公告)号：US20130013601A1
公开(公告)日：2013-01-10
申请号：US13269502
申请日：2011-10-07
申请人： Igor Kabiljo , Borislav Agapiev , Aleksandar Ilic
发明人： Igor Kabiljo , Borislav Agapiev , Aleksandar Ilic
IPC分类号： G06F17/30
CPC分类号： G06F17/30861
摘要： Members of a social network user's social graph are automatically segregated into overlapping clusters according to patterns of their past communications. Each cluster within the social graph represents a group of members having a high degree of intra-cluster communication or other connection with one another. The clustering is performed according to a sorting or ranking in accordance with non-principal eigenvectors of connectivity matrices describing the intra-cluster communications/connections. The overlapping clusters exhibit maximum internal density and minimum external sparsity.
摘要翻译：社交网络用户的社交图的成员根据其过去通信的模式自动分为重叠的群集。社交图中的每个集群表示具有高度的集群内通信或彼此的其他连接的一组成员。根据描述集群内通信/连接的连通性矩阵的非本征向量的排序或排序来执行聚类。重叠的簇表现出最大的内部密度和最小的外部稀疏度。

3. 发明授权

US09317812B2 Customized predictors for user actions in an online system 有权
标题翻译：在线系统中用户操作的自定义预测因子
公开(公告)号：US09317812B2
公开(公告)日：2016-04-19
申请号：US13689969
申请日：2012-11-30
申请人： Igor Kabiljo , Aleksandar Ilic , Ming Hua , Hong Yan
发明人： Igor Kabiljo , Aleksandar Ilic , Ming Hua , Hong Yan
IPC分类号： G06N99/00 , G06Q30/02 , G06Q50/00
CPC分类号： G06N99/005 , G06Q30/02 , G06Q50/01
摘要： Online systems generate predictors for predicting actions of users of the online system. The online system receives requests to generate predictor models for predicting whether a user is likely to take an action of a particular action type. The request specifies the type of action and criteria for identifying a successful instance of the action type and a failure instance of the action type. The online system collects data including successful and failure instances of the action type. The online system generates one or more predictors of different types using the generated data. The online system evaluates and compares the performance of the different predictors generated and selects a predictor based on the performance. The online system returns a handle to access the generated predictor to the requester of the predictor.
摘要翻译：在线系统生成用于预测在线系统用户的动作的预测因子。在线系统接收生成用于预测用户是否可能采取特定动作类型的动作的预测器模型的请求。请求指定用于标识操作类型的成功实例的动作类型和标准，以及动作类型的失败实例。在线系统收集数据，包括操作类型的成功和失败实例。在线系统使用生成的数据生成不同类型的一个或多个预测变量。在线系统评估并比较生成的不同预测变量的性能，并根据性能选择预测变量。在线系统返回一个句柄来访问生成的预测变量到预测变量的请求者。

4. 发明申请

US20110270678A1 SYSTEM AND METHOD FOR USING REAL-TIME KEYWORDS FOR TARGETING ADVERTISING IN WEB SEARCH AND SOCIAL MEDIA 审中-公开
标题翻译：使用实时关键词在网络搜索和社会媒体中引导广告的系统和方法
公开(公告)号：US20110270678A1
公开(公告)日：2011-11-03
申请号：US13099051
申请日：2011-05-02
申请人： Mark E. Drummond , David B. Hills , Susan M. Doherty , William York , Boris Agapiev , Nikola Todorovic , Aleksandar Ilic , Jonathan Ewert , Stephanie Fulqui , Steven T. Jurvetson , Stephanie A. Sarka
发明人： Mark E. Drummond , David B. Hills , Susan M. Doherty , William York , Boris Agapiev , Nikola Todorovic , Aleksandar Ilic , Jonathan Ewert , Stephanie Fulqui , Steven T. Jurvetson , Stephanie A. Sarka
IPC分类号： G06Q30/00 , G06F17/30 , G06F7/00
CPC分类号： G06Q30/02 , G06Q30/0251 , G06Q30/0254 , G06Q30/0641
摘要： As the result of a keyword search, real time and social news stream Web search results are retrieved and analyzed to build a topic model of n-grams. The n-grams of the topic model are treated as ad-based keywords to determine advertisements to be displayed in conjunction with the real time Web search results. The real time Web search results and the advertisements are then be presented or displayed for user consumption or review.
摘要翻译：作为关键字搜索的结果，检索和分析实时和社交新闻流网页搜索结果，以构建一个n-gram的主题模型。主题模型的n克被视为基于广告的关键字，以确定要与实时Web搜索结果一起显示的广告。然后，呈现或显示实时的网页搜索结果和广告，以供用户使用或查看。

你已经成功收藏专利！

检索式保存成功!

IPRDB

热门服务

关于我们

友情链接

联系方式