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公开(公告)号：US20110179084A1
公开(公告)日：2011-07-21
申请号：US13060288
申请日：2009-08-24
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： A content device may select associated content, such as adverts, for a user selected content item based on textual characterizing data for the associated content and the user selected content item. A term set characterizing the user selected content item is expanded using semantic graphs and similarity values between the expanded term set and term sets describing associated content is calculated. A specific associated content item is then selected based on the similarity values. The semantic graph based term set expansion may allow improved accuracy in selecting appropriate associated content while providing a process that is suitable for resource constrained scenarios. In particular, communication resource, memory resource, and computational resource usage may be kept low.
摘要翻译： 内容设备可以基于用于相关联的内容和用户选择的内容项的文本表征数据来为用户选择的内容项目选择关联内容，例如广告。 使用语义图扩展表征用户选择的内容项的术语集合，并且计算扩展术语集和描述相关内容的术语集之间的相似性值。 然后基于相似性值选择特定的相关内容项。 基于语义图的术语集扩展可以允许在选择合适的相关内容时提高准确性，同时提供适合资源约束情景的过程。 特别地，可以将通信资源，存储器资源和计算资源使用保持为低。
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公开(公告)号：US20130132442A1
公开(公告)日：2013-05-23
申请号：US13301345
申请日：2011-11-21
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。
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公开(公告)号：US08332409B2
公开(公告)日：2012-12-11
申请号：US13060288
申请日：2009-08-24
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： A content device may select associated content, such as adverts, for a user selected content item based on textual characterizing data for the associated content and the user selected content item. A term set characterizing the user selected content item is expanded using semantic graphs and similarity values between the expanded term set and term sets describing associated content is calculated. A specific associated content item is then selected based on the similarity values. The semantic graph based term set expansion may allow improved accuracy in selecting appropriate associated content while providing a process that is suitable for resource constrained scenarios. In particular, communication resource, memory resource, and computational resource usage may be kept low.
摘要翻译： 内容设备可以基于用于相关联的内容和用户选择的内容项的文本表征数据来为用户选择的内容项目选择关联内容，例如广告。 使用语义图扩展表征用户选择的内容项的术语集合，并且计算扩展术语集和描述相关内容的术语集之间的相似性值。 然后基于相似性值选择特定的相关内容项。 基于语义图的术语集扩展可以允许在选择合适的相关内容时提高准确性，同时提供适合资源约束情景的过程。 特别地，可以将通信资源，存储器资源和计算资源使用保持为低。
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公开(公告)号：US20100281025A1
公开(公告)日：2010-11-04
申请号：US12434842
申请日：2009-05-04
申请人： Dorothea Tsatsou , Paul C. Davis , Symeon Papadopoulos , Fotis Menemenis , Ben M. Bratu , George Kalfas , Ioannis Kompatsiaris
发明人： Dorothea Tsatsou , Paul C. Davis , Symeon Papadopoulos , Fotis Menemenis , Ben M. Bratu , George Kalfas , Ioannis Kompatsiaris
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , G06F16/335
摘要： A method of generating recommendations for content items comprises providing a domain ontology where concepts are characterized by a term vector with terms and associated weights. Associated term sets, each of which comprises a set of terms that characterize a content item, are further provided. A concept set is generated for each associated term set by determining the concepts of the domain ontology that match the terms of the associated term set. In addition, a user profile for a user is provided where the user profile comprises at least some of the concepts of the ontology coupled with preference weights. Recommendations for content items are generated based on the plurality of associated concept sets and the user profile. The invention may allow improved and/or facilitated generation of recommendations from text based characterizing data.
摘要翻译： 为内容项产生推荐的方法包括提供一个域本体，其中概念由具有术语和关联权重的项向量表征。 关联术语集合，其中每一个包括进一步提供表征内容项目的一组术语。 通过确定与相关术语集的条款匹配的域本体的概念，为每个相关联的术语集生成概念集。 此外，提供了用户的用户简档，其中用户简档包括与偏好权重相结合的本体的至少一些概念。 基于多个相关联的概念集和用户简档来生成关于内容项目的建议。 本发明可以允许基于文本的特征数据的改进和/或便利地产生推荐。
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公开(公告)号：US08620964B2
公开(公告)日：2013-12-31
申请号：US13301345
申请日：2011-11-21
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。
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