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”.

公开(公告)号：US10803107B2

公开(公告)日：2020-10-13

申请号：US15054327

申请日：2016-02-26

申请人： Primal Fusion Inc.

发明人： Peter Joseph Sweeney ,  Alexander David Black

IPC分类号： G06F16/00 ,  G06F16/36 ,  G06N5/02

摘要： Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive or an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.

公开(公告)号：US20160171562A1

公开(公告)日：2016-06-16

申请号：US15040842

申请日：2016-02-10

申请人： Primal Fusion Inc.

发明人： Peter Joseph Sweeney

IPC分类号： G06Q30/02 ,  H04L12/58

CPC分类号： G06Q30/0276 ,  G06F17/3089 ,  G06F17/30914 ,  G06Q30/02 ,  H04L51/10 ,  H04L51/34

摘要： The present invention provides a computer network implementable integration of promoted information with non-promoted content before a consumer interaction with the network, such that when the consumer interacts with the network, a consumer information interacts with this integrated content and delivers a message to the consumer such that the consumer visualizes this message as part of consumer experience without distracting from the network interaction task at hand. The integration is facilitated by semantic analysis and synthesis to naturally position the promoted content as close to the consumer interaction tasks as possible at that instant. This approach displaces the current practise of matching message to media placement while further enabling a promoter to evaluate and respond to feedback data depicting the efficacy of the sponsor message. The network in question is any computer network such as the Internet or intranet.

摘要翻译： 本发明提供一种计算机网络，在消费者与网络进行交互之前，将促进信息与非提升内容可实现集成，使得当消费者与网络交互时，消费者信息与该综合内容交互并向消费者传递消息 使得消费者将该消息视为消费者体验的一部分，而不会分散在手的网络交互任务。 通过语义分析和综合来促进整合，以便自然地将宣传内容定位为尽可能接近消费者互动任务。 这种方法取代了将消息与媒体放置匹配的当前实践，同时进一步使启动者能够评估和响应描述赞助商消息的功效的反馈数据。 所涉及的网络是任何计算机网络，例如因特网或内联网。

公开(公告)号：US20160086085A1

公开(公告)日：2016-03-24

申请号：US14961819

申请日：2015-12-07

申请人： Primal Fusion Inc.

发明人： Peter Joseph Sweeney ,  lhab Francis llyas

IPC分类号： G06N5/02

CPC分类号： G06N5/02 ,  G06F17/30684 ,  G06N7/005

摘要： Techniques for customizing knowledge representation systems including identifying, based on a plurality of concepts in a knowledge representation (KR), a group of one or more concepts relevant to user context information, and providing the identified group of one more concepts to a user. The KR may include a combination of modules. The modules may include a kernel and a customized module customized for the user. The kernel may accessible via a second KR.

公开(公告)号：US20150100540A1

公开(公告)日：2015-04-09

申请号：US14571902

申请日：2014-12-16

申请人： Primal Fusion Inc.

发明人： Peter Sweeney ,  Alexander David Black

IPC分类号： G06N5/02

CPC分类号： G06F17/30731 ,  G06N5/022

摘要： Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive or an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.

摘要翻译： 用于从数据领域合成概念定义和概念关系的计算机实现的系统和方法，利用不同的语义处理协议，如形式化概念分析，以及内置置信度梯度的现有领域概念的分面分类综合。 认知或输入代理提供与现有领域概念相匹配的活动概念的输入。 然后使用相关领域概念的合成池来使用语义处理协议来导出虚拟概念定义。 然后用属性集中的另一个属性的相对接近度的概念覆盖推导。 通过相对邻近度量给出附加的一致性层。 最终结果是树结构中相关的虚拟概念定义池。

公开(公告)号：US08943016B2

公开(公告)日：2015-01-27

申请号：US13919934

申请日：2013-06-17

申请人： Primal Fusion Inc.

发明人： Peter Sweeney ,  Alexander David Black

IPC分类号： G06N5/04 ,  G06N5/02 ,  G06F17/30

CPC分类号： G06F17/30731 ,  G06N5/022

摘要： Computer-implemented systems and methods for synthesis of concept definitions and concept relationships from a domain of data, utilizing different semantic processing protocols such as formal concept analysis and faceted classification synthesis from existing domain concepts that have a confidence gradient built into them. A cognitive of an input agent provides an input of an active concept which is matched against existing domain concepts. The resultant pool of relevant domain concepts is then used to derive virtual concept definitions using a semantic processing protocol. The derivation is then overlaid with a concept of relative proximity of an attribute from another within an attribute set. An additional layer of coherence is given by the relative proximity measure. The end result is a pool of related virtual concept definitions in a tree structure.

摘要翻译： 用于从数据领域合成概念定义和概念关系的计算机实现的系统和方法，利用不同的语义处理协议，如形式化概念分析，以及内置置信度梯度的现有领域概念的分面分类综合。 认知或输入代理提供与现有领域概念相匹配的活动概念的输入。 然后使用相关领域概念的合成池来使用语义处理协议来导出虚拟概念定义。 然后用属性集中的另一个属性的相对接近度的概念覆盖推导。 通过相对邻近度量给出附加的一致性层。 最终结果是树结构中相关的虚拟概念定义池。

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：US20200042505A1

公开(公告)日：2020-02-06

申请号：US16585404

申请日：2019-09-27

申请人： PRIMAL FUSION INC.

发明人： Peter SWEENEY ,  Ihab Francis ILYAS

IPC分类号： G06F16/21 ,  G06N5/02 ,  G06F16/248

摘要： Techniques for customizing knowledge representation systems including identifying, based on a plurality of concepts in a knowledge representation (KR), a group of one or more concepts relevant to user context information, and providing the identified group of one more concepts to a user. The KR may include a combination of modules. The modules may include a kernel and a customized module customized for the user. The kernel may accessible via a second KR.

公开(公告)号：US20180144269A1

公开(公告)日：2018-05-24

申请号：US15360454

申请日：2016-11-23

申请人： Primal Fusion Inc.

发明人： Mathew Whitney Wilson ,  Ihab Ilyas ,  Peter J. Sweeney

IPC分类号： G06N99/00 ,  G06N5/02

CPC分类号： G06N5/022 ,  G06Q30/0631

摘要： Systems and methods are provided for classifying at least one unlabeled content item with a machine-learning classifier. A knowledge representation synthesized based on an object of interest is used as a source of features for which training data is evaluated. The machine learning classifier is trained based on features based on the attributes and the training data.