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1. 发明授权

US09405848B2 Recommending mobile device activities 有权
标题翻译：推荐移动设备活动
公开(公告)号：US09405848B2
公开(公告)日：2016-08-02
申请号：US13233879
申请日：2011-09-15
申请人： Jisheng Liang , Will Hunsinger , Satish Bhatti
发明人： Jisheng Liang , Will Hunsinger , Satish Bhatti
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30321 , G06F17/30867 , G06F17/30899
摘要： Techniques for recommending mobile device activities, such as accessing mobile applications and/or mobile Web pages, are described. Some embodiments provide an Activity Recommendation System (“ARS”) configured to recommend relevant activities for a user to perform with a mobile device, based on context of the mobile device. In one embodiment, the ARS recommends mobile applications based content items (e.g., Web pages, images, videos) that are being currently accessed via the mobile device. The ARS may process information about mobile applications and content items to determine semantic information, such as entities and/or categories referenced or associated therewith. The ARS may then use the semantic information to determine mobile applications that have semantic information that is at least similar to that of a content item accessed via a mobile device.
摘要翻译：描述了用于推荐移动设备活动的技术，例如访问移动应用和/或移动网页。一些实施例提供了一种活动推荐系统（“ARS”），其被配置为基于移动设备的上下文来推荐用户使用移动设备执行的相关活动。在一个实施例中，ARS推荐基于当前通过移动设备访问的基于移动应用的内容项目（例如，网页，图像，视频）。 ARS可以处理关于移动应用和内容项的信息以确定语义信息，例如被引用或相关联的实体和/或类别。然后，ARS可以使用语义信息来确定具有至少类似于经由移动设备访问的内容项的语义信息的移动应用。

2. 发明授权

US08868560B2 System and method of a knowledge management and networking environment 有权
标题翻译：知识管理和网络环境的系统和方法
公开(公告)号：US08868560B2
公开(公告)日：2014-10-21
申请号：US11874881
申请日：2007-10-18
申请人： Nova Spivack , Chris Jones , Peter Royal , Lew Tucker , Scott White , Jim Wissner
发明人： Nova Spivack , Chris Jones , Peter Royal , Lew Tucker , Scott White , Jim Wissner
IPC分类号： G06F17/30 , G06Q30/02
CPC分类号： G06F17/30557 , G06F17/2785 , G06F17/30734 , G06Q30/02 , G06Q30/0253 , G06Q30/0273 , H04L65/403
摘要： Systems and methods of a knowledge management networking are disclosed here. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of hosting a web-space having a plurality of objects, the plurality of objects to include one or more of, representations of a set of users, a set of web-items, and a set of nets; wherein a net of the set of nets is a subset of the web-space comprising a sub-plurality of the plurality of objects. One embodiment can include, tracking an explicit relationship between a first set of at least two objects of the set of objects; the explicit relationship to be pre-determined by a user of the set of users, identifying an implicit relationship between a second set of at least two objects of the set of objects; the implicit relationship to be identified based on a semantic relationship between the at least two objects, and determining a default set of privacy rules governing access between the at least two objects based on one or more of the identified explicit relationship and the implicit relationship.
摘要翻译：这里公开了知识管理网络的系统和方法。在一个方面，本公开的实施例包括一种可以在系统上实现的方法，所述方法托管具有多个对象的网络空间，所述多个对象包括一组或多个用户的表示，一组网络项目和一组网络; 其中所述网络集合的网络是所述网络空间的子集，其包括所述多个对象中的子多个对象。一个实施例可以包括：跟踪该组对象中的至少两个对象的第一组之间的显式关系; 所述显式关系由所述用户集合的用户预先确定，识别所述对象集合中的所述至少两个对象的第二组之间的隐含关系; 基于所述至少两个对象之间的语义关系来识别的所述隐性关系，以及基于所识别的显式关系和所述隐含关系中的一个或多个来确定管理所述至少两个对象之间的访问的默认隐私规则集合。

3. 发明授权

US09501468B2 NLP-based systems and methods for providing quotations 有权
公开(公告)号：US09501468B2
公开(公告)日：2016-11-22
申请号：US14748137
申请日：2015-06-23
申请人： VCVC III LLC
发明人： Jisheng Liang , Navdeep S. Dhillon , Krzysztof Koperski
IPC分类号： G06F17/27 , G06F17/28 , G06F17/30
CPC分类号： G06F17/278 , G06F17/2705 , G06F17/274 , G06F17/2775 , G06F17/28 , G06F17/30011 , G06F17/30684
摘要： Techniques for providing quotations obtained from text documents using natural language processing techniques are described. Some embodiments provide a content recommendation system (“CRS”) configured to provide quotations by extracting quotations from a corpus text documents, and providing access to the extracted quotations in response to search requests received from users. The CRS may extract quotations by using natural language processing-based techniques to identify one or more entities, such as people, places, objects, concepts, or the like, that are referenced by the extracted quotations. The CRS may then store the extracted quotations along with identified entities, such as quotation speakers and subjects, for later access via search requests.

4. 发明授权

US09037567B2 Generating user-customized search results and building a semantics-enhanced search engine 有权
标题翻译：生成用户自定义的搜索结果并构建语义增强的搜索引擎
公开(公告)号：US09037567B2
公开(公告)日：2015-05-19
申请号：US12760411
申请日：2010-04-14
申请人： James M. Wissner , Nova T. Spivack
发明人： James M. Wissner , Nova T. Spivack
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30876 , G06F17/30598 , G06F17/30705 , G06F17/30731 , G06F17/30864
摘要： Systems and methods for generating user-customized search results and building a semantics-enhanced search engine are disclosed. In one aspect, embodiments of the present disclosure include a method, which may be implemented on a system, of generating user-customized search results using user-defined semantic types. The method includes, identifying a first set of URI patterns that are associated with a first set of semantic types defined by a first user, storing the first set of URI patterns in a database embodied in a computer-readable storage medium, and/or semantically categorizing a first set of search results for the first user, as having content related to one or more of the first set of semantic types defined by the first user. The first set of search results can be categorized using the first set of URI patterns.
摘要翻译：公开了用于生成用户自定义搜索结果和构建语义增强搜索引擎的系统和方法。在一个方面，本公开的实施例包括可以在系统上实现的使用用户定义的语义类型来生成用户定制的搜索结果的方法。该方法包括：识别与由第一用户定义的第一组语义类型相关联的第一组URI模式，将第一组URI模式存储在体现在计算机可读存储介质中的数据库和/或语义上将第一用户的第一组搜索结果分类为具有与由第一用户定义的第一组语义类型中的一个或多个相关的内容。可以使用第一组URI模式对第一组搜索结果进行分类。

5. 发明授权

US08965979B2 Methods and systems for semantically managing offers and requests over a network 有权
标题翻译：通过网络语义地管理优惠和请求的方法和系统
公开(公告)号：US08965979B2
公开(公告)日：2015-02-24
申请号：US13455096
申请日：2012-04-24
申请人： Nova T. Spivack , Kristinn R. Thorisson
发明人： Nova T. Spivack , Kristinn R. Thorisson
IPC分类号： G06F15/16 , G06F7/00 , G06F17/30 , G06Q10/08 , G06Q30/02
CPC分类号： G06F17/30908 , G06Q10/087 , G06Q30/0222 , Y10S707/955 , Y10S707/99944
摘要： Among other disclosure, a knowledge network and semcards enabling intelligent matching of offers and requests, involving all types of information and knowledge, including information such as classified ads, data about products and services, or knowledge, expertise, ideas, suggestions, opinions, and other forms of tacit knowledge is described.
摘要翻译：除此之外，知识网络和信用卡可实现提供和请求的智能匹配，涉及所有类型的信息和知识，包括分类广告，产品和服务数据，知识，专业知识，想法，建议，意见和描述其他形式的隐性知识。

6. 发明授权

US09710556B2 Content recommendation based on collections of entities 有权
公开(公告)号：US09710556B2
公开(公告)日：2017-07-18
申请号：US13038192
申请日：2011-03-01
申请人： Krzysztof Koperski , Jisheng Liang , Neil Roseman
发明人： Krzysztof Koperski , Jisheng Liang , Neil Roseman
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30867
摘要： Techniques for content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items that are related to a collection of entities. A content item may be considered related to a collection of entities based on various factors, including whether and how often the article references or otherwise covers the entities of the collection, the size of the article, other entities that are covered by the article but that are not in the collection, article recency, or article credibility. Recommending content items may also or instead include determining entities that are related to a collection. An entity can be considered related to a collection based on various factors, such as whether the entity is of the same or similar type to entities of the collection, or whether the entity appears in some article in a relationship with one or more entities of the collection.

7. 发明授权

US09378285B2 Extending keyword searching to syntactically and semantically annotated data 有权
标题翻译：将关键字搜索扩展到语法和语义注释的数据
公开(公告)号：US09378285B2
公开(公告)日：2016-06-28
申请号：US14479094
申请日：2014-09-05
申请人： VCVC III LLC
发明人： Giovanni B. Marchisio , Navdeep S. Dhillon , Carsten Tusk , Krzysztof Koperski , Jisheng Liang , Thien Nguyen , Matthew E. Brown
IPC分类号： G06F17/30 , G06F7/00
CPC分类号： G06F17/30864 , G06F17/30011 , G06F17/30684 , G06F17/30731
摘要： Methods and systems for extending keyword searching techniques to syntactically and semantically annotated data are provided. Example embodiments provide a Syntactic Query Engine (“SQE”) that parses, indexes, and stores a data set as an enhanced document index with document terms as well as information pertaining to the grammatical roles of the terms and ontological and other semantic information. In one embodiment, the enhanced document index is a form of term-clause index, that indexes terms and syntactic and semantic annotations at the clause level. The enhanced document index permits the use of a traditional keyword search engine to process relationship queries as well as to process standard document level keyword searches. This abstract is provided to comply with rules requiring an abstract, and it is submitted with the intention that it will not be used to interpret or limit the scope or meaning of the claims.
摘要翻译：提供了将关键字搜索技术扩展到语法和语义注释数据的方法和系统。示例性实施例提供了一种语法查询引擎（“SQE”），其用文档术语解析，索引和存储数据集作为增强文档索引，以及与术语和本体语义信息以及其他语义信息有关的语法角色的信息。在一个实施例中，增强的文档索引是术语子句索引的形式，其在子句级别对术语和句法和语义注释进行索引。增强的文档索引允许使用传统的关键字搜索引擎来处理关系查询以及处理标准的文档级关键词搜索。提供本摘要以符合要求摘要的规则，并提交其意图是不会用于解释或限制权利要求书的范围或含义。

8. 发明授权

US08838633B2 NLP-based sentiment analysis 有权
标题翻译：基于NLP的情绪分析
公开(公告)号：US08838633B2
公开(公告)日：2014-09-16
申请号：US13208278
申请日：2011-08-11
申请人： Navdeep S. Dhillon , Jisheng Liang
发明人： Navdeep S. Dhillon , Jisheng Liang
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30731
摘要： Methods, systems, and techniques for providing sentiment analysis and for presenting the results of such analysis Example embodiments provide a Sentiment Analysis System (“SAS”), which provides tools to enable authors, programmers, users, developers, and the like to incorporate sentiment analysis into their content, such as into their web pages, and other web blogs or textual content. In one embodiment, the SAS provides a Sentiment Analysis Engine, an SAS API, and one or more user interface tools for presenting sentiment analysis.
摘要翻译：用于提供情绪分析和呈现此类分析结果的方法，系统和技术示例性实施例提供了一种情绪分析系统（“SAS”），其提供了使得作者，程序员，用户，开发者等能够将情绪对其内容进行分析，例如进入其网页，以及其他网络博客或文本内容。在一个实施例中，SAS提供情绪分析引擎，SAS API以及用于呈现情绪分析的一个或多个用户界面工具。

9. 发明申请

US20140214850A1 CATEGORY-BASED CONTENT RECOMMENDATION 审中-公开
标题翻译：基于类别的内容建议
公开(公告)号：US20140214850A1
公开(公告)日：2014-07-31
申请号：US14231238
申请日：2014-03-31
申请人： VCVC III LLC
发明人： Jisheng Liang , Krzysztof Koperski , Jennifer Cooper , Ted Diamond
IPC分类号： G06F17/30
CPC分类号： G06F17/30643 , G06F17/3053 , G06F17/30696 , G06F17/30705 , G06F17/30734 , G06F17/30873
摘要： Techniques for category-based content recommendation are described. Some embodiments provide a content recommendation system (“CRS”) configured to recommend content items (e.g., Web pages, images, videos) that are related to specified categories. In one embodiment, the CRS processes content items to determine entities referenced by the content items, and to determine categories related to the referenced entities. The determined entities and/or categories may be part of a taxonomy that is stored by the CRS. Then, in response to a received request that indicates a category, the CRS determines and provides indications of one or more content items that each have a corresponding category that matches the indicated category. In some embodiments, at least some of these techniques are employed to implement a category-based news service.
摘要翻译：描述了基于类别的内容推荐的技术。一些实施例提供内容推荐系统（“CRS”），其被配置为推荐与指定类别相关的内容项目（例如，网页，图像，视频）。在一个实施例中，CRS处理内容项目以确定由内容项目引用的实体，并且确定与被引用实体相关的类别。确定的实体和/或类别可以是由CRS存储的分类法的一部分。然后，响应于接收到的指示类别的请求，CRS确定并提供每个具有与指示类别匹配的对应类别的一个或多个内容项的指示。在一些实施例中，使用这些技术中的至少一些来实现基于类别的新闻服务。

10. 发明授权

US09613004B2 NLP-based entity recognition and disambiguation 有权
公开(公告)号：US09613004B2
公开(公告)日：2017-04-04
申请号：US13944340
申请日：2013-07-17
申请人： VCVC III LLC
发明人： Jisheng Liang , Krzysztof Koperski , Navdeep S. Dhillon , Carsten Tusk , Satish Bhatti
IPC分类号： G06F17/21 , G06F17/27
CPC分类号： G06F17/21 , G06F17/278
摘要： Methods and systems for entity recognition and disambiguation using natural language processing techniques are provided. Example embodiments provide an entity recognition and disambiguation system (ERDS) and process that, based upon input of a text segment, automatically determines which entities are being referred to by the text using both natural language processing techniques and analysis of information gleaned from contextual data in the surrounding text. In at least some embodiments, supplemental or related information that can be used to assist in the recognition and/or disambiguation process can be retrieved from knowledge repositories such as an ontology knowledge base. In one embodiment, the ERDS comprises a linguistic analysis engine, a knowledge analysis engine, and a disambiguation engine that cooperate to identify candidate entities from a knowledge repository and determine which of the candidates best matches the one or more detected entities in a text segment using context information.

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