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1.发明申请Apparatus and Methods for Analyzing and Using Short Messages from Commercial Accounts 有权用于分析和使用商业账户短消息的设备和方法公开(公告)号：US20120246097A1
公开(公告)日：2012-09-27
申请号：US13071214
申请日：2011-03-24
申请人： Alpa Jain , Ana-Maria Popescu
发明人： Alpa Jain , Ana-Maria Popescu
IPC分类号： G06F15/18
CPC分类号： G06N5/025 , G06F17/30705
摘要： Disclosed are methods and apparatus for analyzing and using online short messages from promoting entity accounts (e.g., business or non-profit accounts). In one embodiment, a method of analyzing and using messages sent for a plurality of promoting entity accounts is disclosed. A plurality of models for classifying a plurality of messages based on a plurality of message features are obtained for each message. Each message is sent via a computer network between a selected one of the promoting entity accounts and one or more subscribing users that subscribe to receive messages from such selected promoting entity account, and each model is trained to identify whether a message belongs to a particular class based on a lexicon that was generated for such particular class and a training set of messages that belong to the particular class and message that do not belong to the particular class. A new message is classified based on the models and retaining classification information regarding the new message in a database that is accessible by a user so as to review the classification information on a computer display.
摘要翻译： 公开了用于分析和使用来自促进实体账户（例如，商业或非营利账户）的在线短消息的方法和装置。 在一个实施例中，公开了分析和使用为多个促销实体帐户发送的消息的方法。 针对每个消息获得多个用于基于多个消息特征分类多个消息的模型。 每个消息通过计算机网络在选定的一个促销实体账户和一个或多个订阅用户之间发送，该订阅用户订阅从所选择的促销实体帐户接收消息，并且训练每个模型以识别消息是否属于特定类别 基于为这种特定类生成的词典和属于特定类和不属于特定类的消息的训练集合。 基于模型对新消息进行分类，并且在数据库中保留关于用户可访问的新消息的分类信息，以便在计算机显示器上查看分类信息。
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公开(公告)号：US20130159272A1
公开(公告)日：2013-06-20
申请号：US13327734
申请日：2011-12-15
IPC分类号： G06F17/30
CPC分类号： G06F17/30696 , G06F17/30637 , G06F17/30672
摘要： Techniques described herein assist users in satisfying complex information needs represented as long, detailed questions. A generalized search assistance framework for complex information needs is disclosed. Given a detailed question, the techniques enrich the original question with a set of related concepts. The types of questions handled are detailed, complex questions similar to the ones posted in Q&A portals. A generalized search assistance framework enriches complex detailed questions with topically related concepts. A basic pipeline represents an instantiation of such the search assistance framework. Given a detailed question, the pipeline relies on semantic and syntactic relationships in the detailed question in order to construct a set of related queries. The queries are issued to a commercial search engine and the retrieved results are processed by state-of-the-art document understanding techniques in order to retrieve important concepts. A final concept set for enriching the original question is then assembled.
摘要翻译： 本文描述的技术有助于用户满足复杂的信息需求，这些信息需要作为长期详细的问题 公开了一种用于复杂信息需求的广义搜索辅助框架。 给出一个详细的问题，这些技术通过一系列相关概念丰富了原来的问题。 处理的问题类型是类似于Q＆A门户网站中发布的问题的详细，复杂的问题。 广泛的搜索帮助框架丰富了具有局部相关概念的复杂详细问题。 基本管道代表了这种搜索辅助框架的实例化。 给出一个详细的问题，管道依赖于详细问题中的语义和句法关系，以构建一组相关查询。 这些查询被发布到商业搜索引擎，并且通过最先进的文档理解技术处理所检索的结果以便检索重要的概念。 然后组合一个用于丰富原始问题的最终概念。
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公开(公告)号：US20130018968A1
公开(公告)日：2013-01-17
申请号：US13183260
申请日：2011-07-14
IPC分类号： G06F15/16
CPC分类号： G06Q30/0201 , G06Q10/10 , G06Q50/01
摘要： Disclosed are methods and apparatus for classifying users. In accordance with one embodiment, a plurality of messages posted by a user via a microblogging service may be obtained. A set of feature values associated with the user may be obtained, each of the set of feature values corresponding to a different one of a set of one or more features. One or more of the set of feature values may be obtained based, at least in part, on content of the plurality of messages posted by the user, messaging behavior of the user via the microblogging service, and/or social connections of the user established via the microblogging service. The user may be classified based upon the set of feature values associated with the user.
摘要翻译： 公开了用于对用户进行分类的方法和装置。 根据一个实施例，可以获得由用户通过微博服务发布的多个消息。 可以获得与用户相关联的一组特征值，所述一组特征值中的每一个对应于一组或多个特征中的不同的一个。 可以至少部分地基于用户发布的多个消息的内容，经由微博服务的用户的消息行为和/或建立的用户的社交连接来获得该组特征值中的一个或多个 通过微博服务。 可以基于与用户相关联的一组特征值对用户进行分类。
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公开(公告)号：US20120136985A1
公开(公告)日：2012-05-31
申请号：US12955007
申请日：2010-11-29
IPC分类号： G06F15/16
摘要： A method, device, and computer-readable storage medium storing instructions are provided for detecting controversial events that are reflected in user-generated content items. In a single-step approach, user-generated content items are received and analyzed by a controversial event detection module, which determines the likelihood that sets of content items reflect controversial events. In one example, public posts by users of a social networking service are grouped into snapshots of posts that are associated with an entity and were generated during a window of time. An event detection module may determine the likelihood that snapshots reflect events. In a two-step approach, event snapshots are provided to a controversy detection module, which determines the likelihood that event snapshots are controversial. In a blended approach, snapshots are provided to a controversy detection module, which determines the likelihood that snapshots are controversial events based in part on the event score.
摘要翻译： 提供了存储指令的方法，设备和计算机可读存储介质，用于检测反映在用户生成的内容项中的有争议的事件。 在单步方法中，由有争议的事件检测模块接收和分析用户生成的内容项，该模块确定内容项集合反映有争议的事件的可能性。 在一个示例中，社交网络服务的用户的公共帖子被分组为与实体相关联并且在时间窗口期间生成的帖子的快照。 事件检测模块可以确定快照反映事件的可能性。 以两步法，事件快照被提供给一个争议检测模块，这决定了事件快照有争议的可能性。 在混合方法中，将快照提供给争议检测模块，该模块确定快照是部分基于事件分数的有争议事件的可能性。
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5.发明授权Apparatus and methods for analyzing and using short messages from commercial accounts 有权用于分析和使用商业帐户的短信息的装置和方法公开(公告)号：US08527450B2
公开(公告)日：2013-09-03
申请号：US13071214
申请日：2011-03-24
申请人： Alpa Jain , Ana-Maria Popescu
发明人： Alpa Jain , Ana-Maria Popescu
CPC分类号： G06N5/025 , G06F17/30705
摘要： Disclosed are methods and apparatus for analyzing and using online short messages from promoting entity accounts (e.g., business or non-profit accounts). In one embodiment, a method of analyzing and using messages sent for a plurality of promoting entity accounts is disclosed. A plurality of models for classifying a plurality of messages based on a plurality of message features are obtained for each message. Each message is sent via a computer network between a selected one of the promoting entity accounts and one or more subscribing users that subscribe to receive messages from such selected promoting entity account, and each model is trained to identify whether a message belongs to a particular class based on a lexicon that was generated for such particular class and a training set of messages that belong to the particular class and message that do not belong to the particular class. A new message is classified based on the models and retaining classification information regarding the new message in a database that is accessible by a user so as to review the classification information on a computer display.
摘要翻译： 公开了用于分析和使用来自促进实体账户（例如，商业或非营利账户）的在线短消息的方法和装置。 在一个实施例中，公开了分析和使用为多个促销实体帐户发送的消息的方法。 针对每个消息获得多个用于基于多个消息特征分类多个消息的模型。 每个消息通过计算机网络在选定的一个促销实体账户和一个或多个订阅用户之间发送，该订阅用户订阅从所选择的促销实体帐户接收消息，并且训练每个模型以识别消息是否属于特定类别 基于为这种特定类生成的词典和属于特定类和不属于特定类的消息的训练集合。 基于模型对新消息进行分类，并且在数据库中保留关于用户可访问的新消息的分类信息，以便在计算机显示器上查看分类信息。
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6.发明申请IDENTIFICATION OF RELATED BID PHRASES AND CATEGORIES USING CO-BIDDING INFORMATION 审中-公开使用共同投标信息识别相关投标单和类别公开(公告)号：US20100293184A1
公开(公告)日：2010-11-18
申请号：US12465077
申请日：2009-05-13
申请人： Vanja Josifovski , Andrei Broder , Patrick Pantel , Ana-Maria Popescu , Evgeniy Gabrilovich , William Swei Chang
发明人： Vanja Josifovski , Andrei Broder , Patrick Pantel , Ana-Maria Popescu , Evgeniy Gabrilovich , William Swei Chang
IPC分类号： G06F17/30
摘要： The present invention provides a method and system for determining related bid terms. The method and system includes accessing a term database to determine a plurality of term pairs, the term pairs being paired terms bidded together in a term bidding operating environment. In the method and system, for each of the plurality of term pairs, the method and system includes determining similarity values for each of the term pairs. The method and system further includes generating a similarity matrix using the determined similarity values. And, the method and system includes generating an output result based on a co-bidded relationship between at least one of the terms and advertising information.
摘要翻译： 本发明提供了一种用于确定相关投标术语的方法和系统。 方法和系统包括访问术语数据库以确定多个术语对，术语对是在术语投标操作环境中一起投标的配对术语。 在方法和系统中，对于多个术语对中的每一个，该方法和系统包括确定每个术语对的相似度值。 所述方法和系统还包括使用所确定的相似度值来生成相似性矩阵。 并且，所述方法和系统包括基于所述术语中的至少一个与广告信息之间的共同关系生成输出结果。
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公开(公告)号：US10127522B2
公开(公告)日：2018-11-13
申请号：US13183260
申请日：2011-07-14
摘要： Disclosed are methods and apparatus for classifying users. In accordance with one embodiment, a plurality of messages posted by a user via a microblogging service may be obtained. A set of feature values associated with the user may be obtained, each of the set of feature values corresponding to a different one of a set of one or more features. One or more of the set of feature values may be obtained based, at least in part, on content of the plurality of messages posted by the user, messaging behavior of the user via the microblogging service, and/or social connections of the user established via the microblogging service. The user may be classified based upon the set of feature values associated with the user.
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公开(公告)号：US09105008B2
公开(公告)日：2015-08-11
申请号：US12955007
申请日：2010-11-29
IPC分类号： G06F15/173 , G06Q10/10 , G06Q50/00
摘要： A method, device, and computer-readable storage medium storing instructions are provided for detecting controversial events that are reflected in user-generated content items. In a single-step approach, user-generated content items are received and analyzed by a controversial event detection module, which determines the likelihood that sets of content items reflect controversial events. In one example, public posts by users of a social networking service are grouped into snapshots of posts that are associated with an entity and were generated during a window of time. An event detection module may determine the likelihood that snapshots reflect events. In a two-step approach, event snapshots are provided to a controversy detection module, which determines the likelihood that event snapshots are controversial. In a blended approach, snapshots are provided to a controversy detection module, which determines the likelihood that snapshots are controversial events based in part on the event score.
摘要翻译： 提供了存储指令的方法，设备和计算机可读存储介质，用于检测反映在用户生成的内容项中的有争议的事件。 在单步方法中，由有争议的事件检测模块接收和分析用户生成的内容项目，该模块确定内容项集合反映有争议的事件的可能性。 在一个示例中，社交网络服务的用户的公共帖子被分组为与实体相关联并且在时间窗口期间生成的帖子的快照。 事件检测模块可以确定快照反映事件的可能性。 以两步法，事件快照被提供给一个争议检测模块，这决定了事件快照有争议的可能性。 在混合方法中，将快照提供给争议检测模块，该模块确定快照是部分基于事件分数的有争议事件的可能性。
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公开(公告)号：US08990246B2
公开(公告)日：2015-03-24
申请号：US13327734
申请日：2011-12-15
IPC分类号： G06F17/30
CPC分类号： G06F17/30696 , G06F17/30637 , G06F17/30672
摘要： Techniques described herein assist users in satisfying complex information needs represented as long, detailed questions. A generalized search assistance framework for complex information needs is disclosed. Given a detailed question, the techniques enrich the original question with a set of related concepts. The types of questions handled are detailed, complex questions similar to the ones posted in Q&A portals. A generalized search assistance framework enriches complex detailed questions with topically related concepts. A basic pipeline represents an instantiation of such the search assistance framework. Given a detailed question, the pipeline relies on semantic and syntactic relationships in the detailed question in order to construct a set of related queries. The queries are issued to a commercial search engine and the retrieved results are processed by state-of-the-art document understanding techniques in order to retrieve important concepts. A final concept set for enriching the original question is then assembled.
摘要翻译： 本文描述的技术帮助用户满足复杂的信息需求，这些信息需求是长期的，详细的问题。 公开了一种用于复杂信息需求的广义搜索辅助框架。 给出一个详细的问题，这些技术通过一系列相关概念丰富了原来的问题。 处理的问题类型是类似于Q＆A门户网站中发布的问题的详细，复杂的问题。 广泛的搜索帮助框架丰富了具有局部相关概念的复杂详细问题。 基本管道代表了这种搜索辅助框架的实例化。 给出一个详细的问题，管道依赖于详细问题中的语义和句法关系，以构建一组相关查询。 这些查询被发布到商业搜索引擎，并且通过最先进的文档理解技术处理所检索的结果以便检索重要的概念。 然后组合一个用于丰富原始问题的最终概念。
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