公开(公告)号：US20130166605A1

公开(公告)日：2013-06-27

申请号：US13334222

申请日：2011-12-22

申请人： Jianguo Li ,  Guohua Hao ,  Paul C. Davis

发明人： Jianguo Li ,  Guohua Hao ,  Paul C. Davis

IPC分类号： G06F7/00

CPC分类号： G06F17/30867

摘要： In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

公开(公告)号：US20130254140A1

公开(公告)日：2013-09-26

申请号：US13424959

申请日：2012-03-20

申请人： Jianguo Li ,  Paul C. Davis ,  Guohua Hao

发明人： Jianguo Li ,  Paul C. Davis ,  Guohua Hao

IPC分类号： G06F15/18

CPC分类号： G06F16/9535

摘要： Disclosed are a variety of methods and systems for processing access-only user-behavior data and developing and using user-preference models. In one example embodiment, a method for ascribing a score to a first portion of preference data includes establishing a model of user-preference data and receiving the first portion of preference data at a first computerized device and storing that data. The method further includes calculating at least one statistic in relation to the first portion of the preference data by way of a processing device of either the first computerized device or a second computerized device and performing at least one additional operation, by way of either the processing device or another processing device, by which the at least one statistic is evaluated in relation to the model, whereby as a result of being evaluated, the at least one statistic is converted into the score.

摘要翻译： 公开了用于处理仅访问用户行为数据以及开发和使用用户偏好模型的各种方法和系统。 在一个示例实施例中，用于将分数归因于偏好数据的第一部分的方法包括建立用户偏好数据的模型并在第一计算机化设备处接收偏好数据的第一部分并存储该数据。 该方法还包括通过第一计算机化设备或第二计算机化设备的处理设备来计算关于偏好数据的第一部分的至少一个统计量，并通过处理方式来执行至少一个附加操作 装置或另一处理装置，由此通过该装置评估至少一个统计量，由此作为评估的结果，将至少一个统计量转换成分数。

公开(公告)号：US20130166494A1

公开(公告)日：2013-06-27

申请号：US13334292

申请日：2011-12-22

申请人： Paul C. Davis ,  Jianguo Li ,  Guohua Hao

发明人： Paul C. Davis ,  Jianguo Li ,  Guohua Hao

IPC分类号： G06N5/04

CPC分类号： G06N5/04 ,  G06Q30/0269

摘要： In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

摘要翻译： 在分层轮廓中，每个节点表示关于被分析的实体收集的行为数据的至少一个特征，其中最顶端的节点被选为数据的“统计上最有说服力”的特征。 一个配置文件可以覆盖多个领域，并且在每个域中都是非常强大的。 一些观察结果可以一起聚合成一个数据点。 在使用中，将简档的结构与与实体相关联的当前信息进行比较以产生推荐或预测。 如果简档表示至少一些数据聚合，则基于聚合的统计权重将新观察值折叠到简档中。 由于创建和更新配置文件的方式，其层次结构将收集到的观察结果映射。 因此，当新的观察结果被纳入时，如果新的观察结果显着地改变了概况的结构，那么可以假设实体发生了“有趣”的事情。

公开(公告)号：US09110998B2

公开(公告)日：2015-08-18

申请号：US13334222

申请日：2011-12-22

申请人： Jianguo Li ,  Guohua Hao ,  Paul C. Davis

发明人： Jianguo Li ,  Guohua Hao ,  Paul C. Davis

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30867

摘要： In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

公开(公告)号：US08943015B2

公开(公告)日：2015-01-27

申请号：US13334292

申请日：2011-12-22

申请人： Paul C. Davis ,  Jianguo Li ,  Guohua Hao

发明人： Paul C. Davis ,  Jianguo Li ,  Guohua Hao

IPC分类号： G06F17/00 ,  G06N7/04 ,  G06N5/04

CPC分类号： G06N5/04 ,  G06Q30/0269

摘要： In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

摘要翻译： 在分层简档中，每个节点表示关于被分析的实体收集的行为数据的至少一个特征，其中最顶端的节点被选为数据的“统计上最有说服力”的特征。 一个配置文件可以覆盖多个领域，并且在每个域中都是非常强大的。 一些观察结果可以一起聚合成一个数据点。 在使用中，将简档的结构与与实体相关联的当前信息进行比较以产生推荐或预测。 如果简档表示至少一些数据聚合，则基于聚合的统计权重将新观察值折叠到简档中。 由于创建和更新配置文件的方式，其层次结构将收集到的观察结果映射。 因此，当新的观察结果被纳入时，如果新的观察结果显着地改变了概况的结构，那么可以假设实体发生了“有趣”的事情。

公开(公告)号：US20130166609A1

公开(公告)日：2013-06-27

申请号：US13334242

申请日：2011-12-22

申请人： Guohua Hao ,  Jianguo Li ,  Paul C. Davis ,  Robert S. Witte

发明人： Guohua Hao ,  Jianguo Li ,  Paul C. Davis ,  Robert S. Witte

IPC分类号： G06F7/00

CPC分类号： G06Q30/0269

摘要： In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

公开(公告)号：US20130179149A1

公开(公告)日：2013-07-11

申请号：US13348368

申请日：2012-01-11

申请人： James R. Talley ,  Mir F. Ali ,  Guohua Hao ,  Haifeng Li ,  Jianguo Li ,  Dale W. Russell

发明人： James R. Talley ,  Mir F. Ali ,  Guohua Hao ,  Haifeng Li ,  Jianguo Li ,  Dale W. Russell

IPC分类号： G06F17/27

CPC分类号： G06F17/2775

摘要： Disclosed are methods and apparatus for processing linguistic expressions (e.g., opinionated text documents). The linguistic expressions are processed by, firstly, detecting topics of interest discussed in the linguistic expressions. The sentiment, or sentiments, of an originator with respect to each of the topics detected in the linguistic expressions is then assessed. The originators are then grouped (or clustered) into one or more groups based on the similarities between the originators' respective sets of detected topics and corresponding sentiments. Semantic information is then associated with a given group. Finally, for a given member of a given group, a profile is created or updated. This profile comprises attributes that may be based on a degree of membership of the given member to the given group and the semantic information associated with the given group.

摘要翻译： 公开了用于处理语言表达的方法和装置（例如，有意见的文本文档）。 语言表达方式首先是检测语言表达中讨论的兴趣话题。 然后对发言人对语言表达中检测到的每个主题的情绪或情绪进行评估。 然后，基于发现者的各组检测到的主题和相应的情绪之间的相似性，将发起者分组（或聚类）成一个或多个组。 然后，语义信息与给定组相关联。 最后，对于给定组的给定成员，将创建或更新配置文件。 该简档包括可以基于给定成员对给定组的成员的程度和与给定组相关联的语义信息的属性。

公开(公告)号：US08838435B2

公开(公告)日：2014-09-16

申请号：US13348368

申请日：2012-01-11

申请人： James R. Talley ,  Mir F. Ali ,  Guohua Hao ,  Haifeng Li ,  Jianguo Li ,  Dale W. Russell

发明人： James R. Talley ,  Mir F. Ali ,  Guohua Hao ,  Haifeng Li ,  Jianguo Li ,  Dale W. Russell

IPC分类号： G10L15/00

CPC分类号： G06F17/2775

摘要： Disclosed are methods and apparatus for processing linguistic expressions (e.g., opinionated text documents). The linguistic expressions are processed by, firstly, detecting topics of interest discussed in the linguistic expressions. The sentiment, or sentiments, of an originator with respect to each of the topics detected in the linguistic expressions is then assessed. The originators are then grouped (or clustered) into one or more groups based on the similarities between the originators' respective sets of detected topics and corresponding sentiments. Semantic information is then associated with a given group. Finally, for a given member of a given group, a profile is created or updated. This profile comprises attributes that may be based on a degree of membership of the given member to the given group and the semantic information associated with the given group.

摘要翻译： 公开了用于处理语言表达的方法和装置（例如，有意见的文本文档）。 语言表达方式首先是检测语言表达中讨论的兴趣话题。 然后对发言人对语言表达中检测到的每个主题的情绪或情绪进行评估。 然后，基于发现者的各组检测到的主题和相应的情绪之间的相似性，将发起者分组（或聚类）成一个或多个组。 然后，语义信息与给定组相关联。 最后，对于给定组的给定成员，将创建或更新配置文件。 该简档包括可以基于给定成员对给定组的成员的程度和与给定组相关联的语义信息的属性。

公开(公告)号：US08620964B2

公开(公告)日：2013-12-31

申请号：US13301345

申请日：2011-11-21

申请人： Dorothea Tsatsou ,  Paul C. Davis ,  Jianguo Li ,  Ioannis Kompatsiaris ,  Symeon Papadopoulos

发明人： Dorothea Tsatsou ,  Paul C. Davis ,  Jianguo Li ,  Ioannis Kompatsiaris ,  Symeon Papadopoulos

IPC分类号： G06F17/30

CPC分类号： G06F17/30734

摘要： Disclosed are methods in which ontologies are automatically (i.e., with little or no human interaction) constructed from data. The constructed ontology may be provided for use by an application or device. An ontology may be constructed as follows. Firstly, a lexical graph is constructed. Secondly, a concept-detection process is performed on the lexical graph to detect concepts (prominent terms) in the lexical graph. Thirdly, a clustering method is performed on the lexical graph to form groups of concepts. Fourthly, relationships between the concepts are determined based on the interconnections of the concepts in the groups. Lastly, the concepts and detected relationships therebetween are structured using a formal ontology specification.

摘要翻译： 公开了本身构建自动地（即，很少或没有人类交互）的方法。 构造的本体可以被提供供应用或设备使用。 本体可以构造如下。 首先，构建一个词汇图。 其次，在词汇图上执行概念检测过程，以检测词汇图中的概念（突出术语）。 第三，对词汇图进行聚类方法，形成一组概念。 第四，概念之间的关系是基于组中概念的互连来确定的。 最后，它们之间的概念和检测的关系使用形式的本体规范来构造。

公开(公告)号：US20130132442A1

公开(公告)日：2013-05-23

申请号：US13301345

申请日：2011-11-21

申请人： Dorothea Tsatsou ,  Paul C. Davis ,  Jianguo Li ,  Ioannis Kompatsiaris ,  Symeon Papadopoulos

发明人： Dorothea Tsatsou ,  Paul C. Davis ,  Jianguo Li ,  Ioannis Kompatsiaris ,  Symeon Papadopoulos

IPC分类号： G06F17/30

CPC分类号： G06F17/30734

摘要： Disclosed are methods in which ontologies are automatically (i.e., with little or no human interaction) constructed from data. The constructed ontology may be provided for use by an application or device. An ontology may be constructed as follows. Firstly, a lexical graph is constructed. Secondly, a concept-detection process is performed on the lexical graph to detect concepts (prominent terms) in the lexical graph. Thirdly, a clustering method is performed on the lexical graph to form groups of concepts. Fourthly, relationships between the concepts are determined based on the interconnections of the concepts in the groups. Lastly, the concepts and detected relationships therebetween are structured using a formal ontology specification.

摘要翻译： 公开了本身构建自动地（即，很少或没有人类交互）的方法。 构造的本体可以被提供供应用或设备使用。 本体可以构造如下。 首先，构建一个词汇图。 其次，在词汇图上执行概念检测过程，以检测词汇图中的概念（突出术语）。 第三，对词汇图进行聚类方法，形成一组概念。 第四，概念之间的关系是基于组中概念的互连来确定的。 最后，它们之间的概念和检测的关系使用形式的本体规范来构造。