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1.发明授权System, method, and service for segmenting a topic into chatter and subtopics 有权系统，方法和服务，将主题分割成喋喋不休和副主题公开(公告)号：US07281022B2
公开(公告)日：2007-10-09
申请号：US10847084
申请日：2004-05-15
IPC分类号： G06F17/00
CPC分类号： G06F17/30705 , Y10S707/99945 , Y10S707/99948
摘要： A topic segmenting system segments a topic into chatter and subtopics. The system decomposes a conversation into topics, producing a time-based structure for topics and subtopics in the conversation. The system extracts a large number of topics at all levels of granularity. Some of the topics extracted correspond to broad topics and some correspond to “spiky” topics or subtopics. The system comprises a process for automatically detecting spiky regions of a topic. For each possible broad topic, the present system finds regions where coverage of the broad topic overlaps significantly with the spiky region of another topic. The system then removes the spiky subtopic from the conversation. Processing is repeated until all discernable topics have been identified and removed from the conversation, yielding random topics of little duration or intensity.
摘要翻译： 主题分段系统将主题分为喋喋不休和副主题。 系统将对话分解为主题，为会话中的主题和子主题生成基于时间的结构。 系统以各种粒度级别提取大量的主题。 提取的一些主题对应于广泛的主题，一些对应于“尖锐”主题或副主题。 该系统包括用于自动检测主题的尖峰区域的过程。 对于每个可能的广泛话题，本系统查找广泛主题的覆盖面与另一主题的尖锐区域重叠的区域。 系统然后从会话中删除尖锐的子主题。 重复处理，直到所有可辨别的主题已被识别并从会话中删除，产生了持续时间或强度很小的随机话题。
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2.发明授权Method and computer program product for predicting sales from online public discussions 有权用于预测在线公众讨论销售的方法和计算机程序产品公开(公告)号：US07725346B2
公开(公告)日：2010-05-25
申请号：US11191776
申请日：2005-07-27
申请人： Daniel Frederick Gruhl , Ramanathan Vaidhyanath Guha , Jasmine Novak , Shanmugasundaram Ravikumar , Andrew S. Tomkins
发明人： Daniel Frederick Gruhl , Ramanathan Vaidhyanath Guha , Jasmine Novak , Shanmugasundaram Ravikumar , Andrew S. Tomkins
IPC分类号： G06F17/18
CPC分类号： G06Q30/02 , G06Q30/0202
摘要： A sales prediction system predicts sales from online public discussions. The system utilizes manually or automatically formulated predicates to capture subsets of postings in online public discussions. The system predicts spikes in sales rank based on online chatter. The system comprises automated algorithms that predict spikes in sales rank given a time series of counts of online discussions such as blog postings. The system utilizes a stateless model of customer behavior based on a series of states of excitation that are increasingly likely to lead to a purchase decision. The stateless model of customer behavior yields a predictor of sales rank spikes that is significantly more accurate than conventional techniques operating on sales rank data alone.
摘要翻译： 销售预测系统预测在线公众讨论的销售。 系统利用手动或自动制定的谓词来捕获在线公开讨论中的帖子。 该系统基于在线聊天预测销售额的高峰。 该系统包括自动算法，用于预测在线讨论的时间序列（如博客帖子）的销售排名。 该系统基于一系列越来越有可能导致购买决定的激励状态，利用客户行为的无状态模型。 客户行为的无状态模型产生了销售排名尖峰的预测指标，这比传统的技术仅针对销售排名数据进行操作。
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公开(公告)号：US08214391B2
公开(公告)日：2012-07-03
申请号：US10141327
申请日：2002-05-08
申请人： Matthew Denesuk , Daniel Frederick Gruhl , Kevin Snow McCurley , Sridhar Rajagopalan , Andrew S. Tomkins
发明人： Matthew Denesuk , Daniel Frederick Gruhl , Kevin Snow McCurley , Sridhar Rajagopalan , Andrew S. Tomkins
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F2216/03
摘要： In a data mining system, data is gathered into a data store using, e.g., a Web crawler. The data is classified into entities. Data miners use rules to process the entities and append respective keys to the entities representing characteristics of the entities as derived from rules embodied in the miners. With these keys, characteristics of entities as defined by disparate expert authors of the data miners are identified for use in responding to complex data requests from customers.
摘要翻译： 在数据挖掘系统中，使用例如Web爬行器将数据收集到数据存储中。 数据分为实体。 数据挖掘者使用规则来处理实体，并将相应的密钥附加到代表矿工特征的实体的实体。 利用这些密钥，确定数据挖掘者的不同专家作者定义的实体的特征用于响应客户的复杂数据请求。
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公开(公告)号：US06993534B2
公开(公告)日：2006-01-31
申请号：US10142673
申请日：2002-05-08
申请人： Matthew Denesuk , Daniel Frederick Gruhl , Kevin Snow McCurley , Joerg Meyer , Sridhar Rajagopalan , Andrew S. Tomkins , Jason Yeong Zien
发明人： Matthew Denesuk , Daniel Frederick Gruhl , Kevin Snow McCurley , Joerg Meyer , Sridhar Rajagopalan , Andrew S. Tomkins , Jason Yeong Zien
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99942 , Y10S707/99943 , Y10S707/99945
摘要： In a data mining system, data is gathered into a data store using, e.g., a Web crawler. The data is classified into entities and stored into underlying vertical and horizontal tables respectively representing miner outputs and entities that can be the subjects of indexing. Data miners use rules to process the entities and append respective keys to the entities representing characteristics of the entities as derived from rules embodied in the miners, with the keys being associated with the entities in the tables. With these keys, characteristics of entities as defined by disparate expert authors of the data miners are identified for use in responding to complex data requests from customers.
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公开(公告)号：US07010526B2
公开(公告)日：2006-03-07
申请号：US10141686
申请日：2002-05-08
申请人： Matthew Denesuk , Daniel Frederick Gruhl , Kevin Snow McCurley , Sridhar Rajagopalan , Andrew S. Tomkins
发明人： Matthew Denesuk , Daniel Frederick Gruhl , Kevin Snow McCurley , Sridhar Rajagopalan , Andrew S. Tomkins
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , Y10S707/99936 , Y10S707/99942
摘要： In a data mining system, data is gathered into a data store using, e.g., a Web crawler. The data is classified into entities. Data miners use rules to process the entities and append respective keys to the entities representing characteristics of the entities as derived from expert rules embodied in the miners. With these keys, characteristics of entities as defined by disparate expert authors of the data miners are identified for use in responding to complex data requests from customers.
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公开(公告)号：US20120259890A1
公开(公告)日：2012-10-11
申请号：US13526424
申请日：2012-06-18
IPC分类号： G06F17/30
CPC分类号： G06F16/951 , G06F2216/03
摘要： In a data mining system, data is gathered into a data store using, e.g., a Web crawler. The data is classified into entities. Data miners use rules to process the entities and append respective keys to the entities representing characteristics of the entities as derived from rules embodied in the miners. With these keys, characteristics of entities as defined by disparate expert authors of the data miners are identified for use in responding to complex data requests from customers.
摘要翻译： 在数据挖掘系统中，使用例如Web爬行器将数据收集到数据存储中。 数据分为实体。 数据挖掘者使用规则来处理实体，并将相应的密钥附加到代表矿工特征的实体的实体。 利用这些密钥，确定数据挖掘者的不同专家作者定义的实体的特征用于响应客户的复杂数据请求。
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7.发明授权System, method, and service for inducing a pattern of communication among various parties 有权引起各方之间沟通模式的系统，方法和服务公开(公告)号：US07970895B2
公开(公告)日：2011-06-28
申请号：US12191667
申请日：2008-08-14
IPC分类号： G06F15/16
CPC分类号： G06F17/30867 , G06Q50/01 , Y10S707/99935 , Y10S707/99945
摘要： A communication pattern inducing system focuses on the propagation of topics amongst a plurality of nodes based on the text of the node rather than hyperlinks of the node. A node could represent a weblog or any other source of information such as person, a conversation, images, etc. The system utilizes a model for information diffusion, wherein the parameters of the model capture how a new topic spreads from node to node. The system further comprises a process to learn the parameters of the model based on real data and to apply the process to real (or synthetic) node data. Consequently, the system is able to identify particular individuals that are highly effective at contributing to the spread of topics.
摘要翻译： 通信模式诱导系统集中于基于节点的文本而不是节点的超链接在多个节点之间传播主题。 节点可以表示博客或任何其他信息源，例如人，谈话，图像等。系统利用信息扩散的模型，其中模型的参数捕获新节点如何从节点传播到节点。 该系统还包括基于实际数据来学习模型的参数并将该过程应用于实际（或合成）节点数据的过程。 因此，该系统能够识别在促进主题传播方面非常有效的特定个人。
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8.发明申请SYSTEM, METHOD, AND SERVICE FOR INDUCING A PATTERN OF COMMUNICATION AMONG VARIOUS PARTIES 有权用于诱导不同各方通信模式的系统，方法和服务公开(公告)号：US20080307326A1
公开(公告)日：2008-12-11
申请号：US12191667
申请日：2008-08-14
IPC分类号： G06F3/048
CPC分类号： G06F17/30867 , G06Q50/01 , Y10S707/99935 , Y10S707/99945
摘要： A communication pattern inducing system focuses on the propagation of topics amongst a plurality of nodes based on the text of the node rather than hyperlinks of the node. A node could represent a weblog or any other source of information such as person, a conversation, images, etc. The system utilizes a model for information diffusion, wherein the parameters of the model capture how a new topic spreads from node to node. The system further comprises a process to learn the parameters of the model based on real data and to apply the process to real (or synthetic) node data. Consequently, the system is able to identify particular individuals that are highly effective at contributing to the spread of topics.
摘要翻译： 通信模式诱导系统集中于基于节点的文本而不是节点的超链接在多个节点之间传播主题。 节点可以表示博客或任何其他信息源，例如人，谈话，图像等。系统利用信息扩散的模型，其中模型的参数捕获新节点如何从节点传播到节点。 该系统还包括基于实际数据来学习模型的参数并将该过程应用于实际（或合成）节点数据的过程。 因此，该系统能够识别在促进主题传播方面非常有效的特定个人。
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9.发明授权System, method, and service for inducing a pattern of communication among various parties 有权引起各方之间沟通模式的系统，方法和服务公开(公告)号：US07426557B2
公开(公告)日：2008-09-16
申请号：US10847113
申请日：2004-05-14
CPC分类号： G06F17/30867 , G06Q50/01 , Y10S707/99935 , Y10S707/99945
摘要： A communication pattern inducing system focuses on the propagation of topics amongst a plurality of nodes based on the text of the node rather than hyperlinks of the node. A node could represent a weblog or any other source of information such as person, a conversation, images, etc. The system utilizes a model for information diffusion, wherein the parameters of the model capture how a new topic spreads from node to node. The system further comprises a process to learn the parameters of the model based on real data and to apply the process to real (or synthetic) node data. Consequently, the system is able to identify particular individuals that are highly effective at contributing to the spread of topics.
摘要翻译： 通信模式诱导系统集中于基于节点的文本而不是节点的超链接在多个节点之间传播主题。 节点可以表示博客或任何其他信息源，例如人，谈话，图像等。系统利用信息扩散的模型，其中模型的参数捕获新节点如何从节点传播到节点。 该系统还包括基于实际数据来学习模型的参数并将该过程应用于实际（或合成）节点数据的过程。 因此，该系统能够识别在促进主题传播方面非常有效的特定个人。
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公开(公告)号：US08745162B2
公开(公告)日：2014-06-03
申请号：US11656052
申请日：2007-01-19
IPC分类号： G06F15/16
CPC分类号： G06F17/30265
摘要： Method and system for presenting information on a user device are disclosed. The method includes collecting a plurality of data objects on the Internet, annotating each data object in the plurality of data objects in accordance with user-defined data and implicit data, wherein the user-defined data and implicit data form metadata associated with the plurality of data objects, creating correlations between the plurality of data objects using the metadata associated with the plurality of data objects, and presenting the plurality of data objects in multiple views on the user device simultaneously according to the correlations between the plurality of data objects.
摘要翻译： 公开了用于在用户设备上呈现信息的方法和系统。 该方法包括在因特网上收集多个数据对象，根据用户定义的数据和隐含数据对多个数据对象中的每个数据对象进行注释，其中用户定义的数据和隐式数据形成与多个数据对象相关联的元数据 数据对象，使用与所述多个数据对象相关联的元数据在所述多个数据对象之间建立相关性，以及根据所述多个数据对象之间的相关性同时在所述用户设备上的多个视图中呈现所述多个数据对象。
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