公开(公告)号：US20220237246A1

公开(公告)日：2022-07-28

申请号：US17713096

申请日：2022-04-04

申请人： Primal Fusion Inc.

发明人： Ihab Francis Ilyas ,  Mohamed A. Soliman

IPC分类号： G06F16/9535 ,  G06F16/36 ,  G06F16/2457

摘要： Techniques for presenting content to users. The techniques include: obtaining user context information including a first keyword; identifying, based on the first keyword, a first attribute and a second attribute among the plurality of attributes, the first attribute being a characteristic of the first keyword and the second attribute being another characteristic of the first keyword; obtaining, based on the user context information, at least one second-order user preference among attributes in the plurality of attributes including a preference between the first attribute and the second attribute; identifying a set of content items among the plurality of content items based on the first attribute and the second attribute; determining a ranking of content items in the set of content items based on the at least one second-order user preference; and presenting content items to the user in accordance with the ranking.

公开(公告)号：US09262520B2

公开(公告)日：2016-02-16

申请号：US13105890

申请日：2011-05-11

申请人： Peter Joseph Sweeney ,  David Goodwin ,  David Janik-Jones

发明人： Peter Joseph Sweeney ,  David Goodwin ,  David Janik-Jones

IPC分类号： G06F3/048 ,  G06F17/30

CPC分类号： G06F17/3056 ,  G06F3/04842 ,  G06F17/30365 ,  G06F17/30528 ,  G06F17/30716

摘要： A computer network-implemented method for displaying a tag cloud representing a data structure. The data structure includes data entities and representations of relationships between the data entities. The method enables one or more users to interact with the data structure, and via the data structure, to interact with one another. In an example embodiment, the method comprises, via a computer processor, populating a display of a user interface showing a tag cloud populated with images of data entities from the data structure, such images, and in response to user input to the interface, associating one or more visual properties of the user interface with one or more of said relationships between data entities in the data structure.

摘要翻译： 一种用于显示表示数据结构的标签云的计算机网络实现方法。 数据结构包括数据实体和数据实体之间关系的表示。 该方法使得一个或多个用户能够与数据结构交互，并且通过数据结构来彼此交互。 在一个示例性实施例中，该方法包括经由计算机处理器填充用户界面的显示器，该用户界面显示了填充有来自数据结构的这些图像的数据实体的图像的标签云，并且响应于用户对界面的输入，关联 所述用户界面的一个或多个视觉属性与所述数据结构中的数据实体之间的一个或多个所述关系相关联。

公开(公告)号：US09098575B2

公开(公告)日：2015-08-04

申请号：US13527914

申请日：2012-06-20

申请人： Ihab Francis Ilyas ,  Mohamed A. Soliman ,  Peter Joseph Sweeney

发明人： Ihab Francis Ilyas ,  Mohamed A. Soliman ,  Peter Joseph Sweeney

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  G06F17/3053 ,  G06F17/30731

摘要： Techniques for specifying user preferences in a semantic network. The techniques include receiving, using at least one processor, a plurality of first-order user preferences for at least one concept in a semantic network, wherein the plurality of first-order user preferences are indicative of a user's preferences among children of attributes of the at least one concept in the semantic network; receiving, using the at least one processor, at least one second-order user preference for the at least one concept in the semantic network, wherein the at least one second-order user preference is indicative of the user's preferences among attributes of the at least one concept; and performing at least one semantic processing act by using the semantic network, the plurality of first-order user preferences, and the at least one second-order user preference.

摘要翻译： 用于在语义网络中指定用户偏好的技术。 所述技术包括：在语义网络中接收使用至少一个处理器中的至少一个概念的多个一阶用户偏好，其中所述多个一阶用户偏好指示所述用户在所述第 语义网络中至少有一个概念; 使用所述至少一个处理器接收所述语义网络中的所述至少一个概念的至少一个二阶用户偏好，其中所述至少一个二阶用户偏好指示所述至少一个以上的属性中的所述用户的偏好 一个概念; 以及通过使用所述语义网络，所述多个一阶用户偏好以及所述至少一个二阶用户偏好来执行至少一个语义处理动作。

公开(公告)号：US09092516B2

公开(公告)日：2015-07-28

申请号：US13527883

申请日：2012-06-20

申请人： Ihab Francis Ilyas ,  Mohamed A. Soliman

发明人： Ihab Francis Ilyas ,  Mohamed A. Soliman

IPC分类号： G06F17/30

CPC分类号： G06F17/30867 ,  G06F17/3053 ,  G06F17/30731

摘要： Techniques for calculating a ranking of at least one item in a plurality of items. The techniques include receiving user preferences comprising a plurality of first-order user preferences indicative of a user's preferences for items in the plurality of items, and at least one second-order user preference indicative of the user's preferences among first-order user preferences in the plurality of first-order user preferences; calculating, with at least one processor, a ranking of the at least one item in the plurality of items based, at least in part on, at least one data structure encoding a preference graph that represents the received user preferences; and identifying and outputting at least a subset of the plurality of items to a user, in accordance with the ranking.

摘要翻译： 用于计算多个项目中的至少一个项目的排名的技术。 这些技术包括接收包括指示用户对多个项目中的项目的偏好的多个一阶用户偏好的用户偏好以及指示用户在第一阶段用户偏好中的用户偏好的至少一个二阶用户偏好 多个一阶用户偏好; 至少部分地基于至少一个编码表示接收到的用户偏好的偏好图的数据结构来计算至少一个处理器对所述多个项中的至少一个项目的排名; 以及根据排名，将多个项目的至少一个子集识别并输出给用户。

公开(公告)号：US08510302B2

公开(公告)日：2013-08-13

申请号：US12441100

申请日：2007-08-31

申请人： Peter Sweeney ,  Robert Good

发明人： Peter Sweeney ,  Robert Good

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30734 ,  G06F17/30705 ,  G06F17/30707 ,  G06F17/30914 ,  G06N5/02

摘要： Techniques are described for performing synthesis of relationships between a plurality of concept definitions automatically derived from a faceted domain of information. Some embodiments involve identifying at least one facet attribute in an active concept definition specified by user input. In response to determining that at least one explicit relationship and/or at least one implicit relationship exist(s) between the active concept definition and a first concept definition of the plurality of concept definitions, a relationship is synthesized between the active concept definition and the first concept definition.

摘要翻译： 描述了用于执行从信息领域自动导出的多个概念定义之间的关系的合成的技术。 一些实施例涉及识别由用户输入指定的活动概念定义中的至少一个小平面属性。 响应于确定在活动概念定义和多个概念定义的第一概念定义之间存在至少一个显式关系和/或至少一个隐式关系，在活动概念定义和 第一概念定义。

公开(公告)号：US20120324367A1

公开(公告)日：2012-12-20

申请号：US13527900

申请日：2012-06-20

申请人： Ihab Francis Ilyas ,  Mohamed A. Soliman

发明人： Ihab Francis Ilyas ,  Mohamed A. Soliman

IPC分类号： G06F3/01

CPC分类号： G06F16/9535 ,  G06F16/24578 ,  G06F16/36

摘要： Techniques for obtaining user preferences. The techniques include receiving user context information associated with at least one user; identifying, based at least in part on the received user context information, a plurality of attributes of items in a plurality of items; obtaining, using at least one processor, at least one first-order user preference based at least in part on a first input provided by the at least one user, wherein the plurality of first-order user preferences comprises a preference for a first attribute in the plurality of attributes; and obtaining, using the at least one processor, at least one second-order user preference based at least in part on a second input provided by the at least one user, wherein the at least one second-order user preference comprises a preference among attributes in the plurality of attributes.

摘要翻译： 获取用户偏好的技术。 所述技术包括接收与至少一个用户相关联的用户上下文信息; 至少部分地基于所接收的用户上下文信息来识别多个项目中的项目的多个属性; 至少部分地基于由所述至少一个用户提供的第一输入，至少使用至少一个处理器来获得至少一个一阶用户偏好，其中所述多个一阶用户偏好包括对所述至少一个用户偏好中的第一属性的偏好 多个属性; 以及至少部分地基于所述至少一个用户提供的第二输入，使用所述至少一个处理器获得至少一个二阶用户偏好，其中所述至少一个二阶用户偏好包括属性之间的偏好 在多个属性中。

公开(公告)号：US20120166371A1

公开(公告)日：2012-06-28

申请号：US13345637

申请日：2012-01-06

申请人： Peter Joseph Sweeney ,  Ihab Francis Ilyas

发明人： Peter Joseph Sweeney ,  Ihab Francis Ilyas

IPC分类号： G06F15/18

CPC分类号： G06N5/02 ,  G06F16/84 ,  G06N7/005

摘要： Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with context information. Methods of populating an elemental data structure and methods of synthesizing complex KRs from the elemental data structure may depend on user models, context information, preference information, and/or preference models.

摘要翻译： 用于分析和合成复杂知识表示（KR）的技术可以利用原子知识表示模型，其包括存储为机器可读数据和/或编程指令的元数据结构和知识处理规则。 可以应用知识处理规则中的一个或多个来分析输入复合体KR以将其复杂概念和/或概念关系解构为要包括在基本数据结构中的元素概念和/或概念关系。 知识处理规则中的一个或多个可以应用于根据上下文信息从所存储的基本数据结构合成输出复合体KR。 填充元素数据结构的方法和从元素数据结构合成复合KR的方法可以取决于用户模型，上下文信息，偏好信息和/或偏好模型。

公开(公告)号：US20110320396A1

公开(公告)日：2011-12-29

申请号：US13165423

申请日：2011-06-21

申请人： Anne Jude Hunt ,  Alexander David Black ,  Peter Joseph Sweeney ,  Ihab Francis Ilyas

发明人： Anne Jude Hunt ,  Alexander David Black ,  Peter Joseph Sweeney ,  Ihab Francis Ilyas

IPC分类号： G06N5/02

CPC分类号： G06N5/02 ,  G06F17/30914

摘要： Techniques for analyzing and synthesizing complex knowledge representations (KRs) may utilize an atomic knowledge representation model including both an elemental data structure and knowledge processing rules stored as machine-readable data and/or programming instructions. One or more of the knowledge processing rules may be applied to analyze an input complex KR to deconstruct its complex concepts and/or concept relationships to elemental concepts and/or concept relationships to be included in the elemental data structure. One or more of the knowledge processing rules may be applied to synthesize an output complex KR from the stored elemental data structure in accordance with an input context. Multiple input complex KRs of various types may be analyzed and deconstructed to populate the elemental data structure, and input complex KRs may be transformed through the elemental data structure to output complex KRs of different types, providing semantic interoperability to KRs of different types and/or KR models.

摘要翻译： 用于分析和合成复杂知识表示（KR）的技术可以利用原子知识表示模型，其包括存储为机器可读数据和/或编程指令的元数据结构和知识处理规则。 可以应用知识处理规则中的一个或多个来分析输入复合体KR以将其复杂概念和/或概念关系解构为要包括在基本数据结构中的元素概念和/或概念关系。 一个或多个知识处理规则可以被应用以根据输入上下文从存储的基本数据结构合成输出复合体KR。 可以对各种类型的多输入复合体KR进行分析和解构以填充元素数据结构，并且可以通过元素数据结构来转换输入复数KR，以输出不同类型的复合KR，为不同类型和/或不同类型的KR提供语义互操作性 KR型号。

公开(公告)号：US12045862B2

公开(公告)日：2024-07-23

申请号：US17864080

申请日：2022-07-13

申请人： Primal Fusion Inc.

发明人： Peter Sweeney

IPC分类号： G06Q30/02 ,  G06F40/30 ,  G06Q30/0251 ,  G06Q30/0273

CPC分类号： G06Q30/0273 ,  G06F40/30 ,  G06Q30/0251

摘要： Disclosed is a system and method for enhancing value for advertisers by helping them select and initiate the purchase of an advertisement associated with an advertising (ad) words or phrases that have strong semantic relationships to a given context, but which are not necessarily the most popular ad words or phrases with the highest costs. Advertisements associated with ad words or phrases that have strong semantic relationships to a given context, and yet are still cost effective in that their calculated value exceeds the costs of purchasing the ad keywords, are bid for and bought. In an embodiment, the system and method may be adapted to automatically purchase advertisements associated with ad words or phrases when the ad words or phrases fall within a desired price range based on their calculated value. As the prices of advertisements associated with these words or phrases fluctuate over time based on their popularity of the words or phrases, the automated bidding and buying of advertisements may be used to purchase advertisements associated with words or phrases at a price desirable to a given ad purchaser. By automatically purchasing such advertisements, the return on investment (ROI) for an advertiser may be improved.

公开(公告)号：US20240095546A1

公开(公告)日：2024-03-21

申请号：US18518808

申请日：2023-11-24

申请人： Primal Fusion Inc.

发明人： Peter Sweeney ,  Robert Good ,  Robert Barlow-Busch ,  Alexander David Black

IPC分类号： G06N5/02 ,  G06F16/2457 ,  G06F16/33 ,  G06F16/36 ,  G06F40/30 ,  G06N5/022 ,  G06Q30/0241 ,  G06Q30/0251

CPC分类号： G06N5/02 ,  G06F16/24575 ,  G06F16/3334 ,  G06F16/3344 ,  G06F16/367 ,  G06F40/30 ,  G06N5/022 ,  G06Q30/0241 ,  G06Q30/0269

摘要： This invention relates generally to classification systems. More particularly this invention relates to a system, method, and computer program to dynamically generate a domain of information synthesized by a classification system or semantic network. The invention discloses a method, system, and computer program providing a means by which an information store comprised of knowledge representations, such as a web site comprised of a plurality of web pages or a database comprised of a plurality of data instances, may be optimally organized and accessed based on relational links between ideas defined by one or more thoughts identified by an agent and one or more ideas embodied by the data instances. Such means is hereinafter referred to as a “thought network”.