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1. 发明授权

US09202176B1 Entity analysis system 有权
标题翻译：实体分析系统
公开(公告)号：US09202176B1
公开(公告)日：2015-12-01
申请号：US13205585
申请日：2011-08-08
申请人： Amit R. Kapur , Steven F. Pearman , James R. Benedetto
发明人： Amit R. Kapur , Steven F. Pearman , James R. Benedetto
IPC分类号： G06N99/00
CPC分类号： G06N99/005 , G06N5/02 , G06N7/005
摘要： A method for building a factual database of concepts and entities that are related to the concepts through a learning process. Training content (e.g., news articles, books) and a set of entities (e.g., Bill Clinton and Barack Obama) that are related to a concept (e.g., Presidents) is received. Groups of words that co-occur frequently in the textual content in conjunction with the entities are identified as templates. Templates may also be identified by analyzing parts-of-speech patterns of the templates. Entities that co-occur frequently in the textual content in conjunction with the templates are identified as additional related entities (e.g., Ronald Reagan and Richard Nixon). To eliminate erroneous results, the identified entities may be presented to a user who removes any false positives. The entities are then stored in association with the concept.
摘要翻译：通过学习过程建立与概念相关的概念和实体的事实数据库的方法。收到与概念有关（例如总统）的培训内容（例如新闻文章，书籍）和一组实体（例如比尔·克林顿和巴拉克·奥巴马）。与实体一起在文本内容中频繁出现的词组被标识为模板。模板也可以通过分析模板的部分语音模式来识别。与模板一起在文本内容中频繁出现的实体被标识为附加相关实体（例如，罗纳德·里根和理查德·尼克松）。为了消除错误的结果，所识别的实体可以被呈现给消除任何误报的用户。然后将这些实体与概念相关联地存储。

2. 发明授权

US08527269B1 Conversational lexicon analyzer 有权
标题翻译：会话词典分析仪
公开(公告)号：US08527269B1
公开(公告)日：2013-09-03
申请号：US12968194
申请日：2010-12-14
申请人： Amit R. Kapur , Steven F. Pearman , James R. Benedetto
发明人： Amit R. Kapur , Steven F. Pearman , James R. Benedetto
IPC分类号： G06F17/27
CPC分类号： G06F17/2735 , G06F17/277 , G06Q30/02 , G06Q50/01
摘要： A system and a method for analyzing conversational data comprising colloquial or informal terms and having an informal structure. A corpus of training language maps, each associated with an entity, is generated from conversational data retrieved from sources previously associated with entities. Subsequently received conversational data is processed to generate a conversational language map which is compared to a plurality of the stored training language maps. A confidence value is generated describing the similarity of the conversational language map to each of the plurality of the stored training language maps. The entity associated with the training language map having the highest confidence value is then associated with the conversational language map.
摘要翻译：一种用于分析对话数据的系统和方法，包括口语或非正式术语，并具有非正式结构。每个与实体相关联的训练语言地图语料库是从先前与实体相关联的源检索的会话数据生成的。随后接收到的对话数据被处理以产生与多个存储的训练语言图比较的对话语言地图。产生置信值，其描述会话语言图与多个存储的训练语言图中的每一个的相似性。与具有最高置信度值的训练语言图相关联的实体然后与对话语言图相关联。

3. 发明授权

US08615442B1 Personalized content delivery system 有权
标题翻译：个性化内容传送系统
公开(公告)号：US08615442B1
公开(公告)日：2013-12-24
申请号：US12968251
申请日：2010-12-14
申请人： Amit R. Kapur , Steven F. Pearman , James R. Benedetto
发明人： Amit R. Kapur , Steven F. Pearman , James R. Benedetto
IPC分类号： G06Q30/00
CPC分类号： G06F17/30598 , G06Q30/0269
摘要： A content delivery system for generating personalized content for a user. The system maintains an interest graph that shows the user's current attachment to one or more topics. When a user performs an action, a topic is determined for the action and the user's interest graph is modified based on the action. The system also receives content and analyzes the language of the content to determine a topic of the content. A similarity between the user's interests and the content is determined. The content is also analyzed to determine the popularity of the content. The user's interest level and the popularity of the content are then used to provide the user with a personalized content, such as a content recommendation or enhanced content.
摘要翻译：一种用于为用户生成个性化内容的内容递送系统。系统维护一个兴趣图，显示用户对一个或多个主题的当前附件。当用户执行动作时，为动作确定主题，并且基于动作修改用户的兴趣图。系统还接收内容并分析内容的语言以确定内容的主题。确定用户兴趣和内容之间的相似性。还分析内容以确定内容的受欢迎程度。用户的兴趣水平和内容的流行度然后用于向用户提供诸如内容推荐或增强内容之类的个性化内容。

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