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81. 发明授权

US08605996B2 Sentiment classification using out of domain data 有权
公开(公告)号：US08605996B2
公开(公告)日：2013-12-10
申请号：US12336137
申请日：2008-12-16
申请人： Xiaochuan Ni , Gang Wang , Jian-Tao Sun , Zheng Chen
发明人： Xiaochuan Ni , Gang Wang , Jian-Tao Sun , Zheng Chen
IPC分类号： G06K9/62 , G06K9/00
CPC分类号： G06N99/005 , G06F17/2785 , G06F17/30707 , G06K9/6267 , G06Q30/02 , G06Q30/0201
摘要： Providing sentiment classification of out of domain data are disclosed herein. In some aspects, a source domain having a trained classifier is matched to a target domain having a target classifier. The trained classifier may include identifiers that may be used to predict the sentiment of opinion data for the source domain. The target classifier may use the identifiers of the trained classifier to determine the sentiment of opinion data for the target domain.

82. 发明申请

US20130210818A1 Novel Heterocyclic Compounds and Uses Thereof 有权
标题翻译：新型杂环化合物及其用途
公开(公告)号：US20130210818A1
公开(公告)日：2013-08-15
申请号：US13396339
申请日：2012-02-14
申请人： Zilin Huang , Jeff Jin , Timothy Machajewski , William R. Antonios-McCrea , Maureen McKenna , Daniel Poon , Paul A. Renhowe , Martin Sendzik , Cynthia Shafer , Aaron Smith , Yongjin Xu , Qiong Zhang , Zheng Chen
发明人： Zilin Huang , Jeff Jin , Timothy Machajewski , William R. Antonios-McCrea , Maureen McKenna , Daniel Poon , Paul A. Renhowe , Martin Sendzik , Cynthia Shafer , Aaron Smith , Yongjin Xu , Qiong Zhang , Zheng Chen
IPC分类号： A61K31/444 , A61K31/506 , C07D403/14 , C07D405/14 , A61K31/4439 , C07D417/14 , C07D471/04 , C07D413/14 , A61K31/496 , C07D487/04 , A61K31/4985 , C07D498/04 , A61K31/5383 , A61K31/4709 , A61K31/5377 , A61P35/00 , C07D401/14
CPC分类号： A61K31/4439 , A61K31/444 , A61K31/4709 , A61K31/497 , A61K31/506 , A61K31/5383 , A61K45/06 , C07D401/14 , C07D403/14 , C07D405/14 , C07D413/14 , C07D417/14 , C07D471/04 , C07D498/04 , A61K2300/00
摘要： New substituted heterocyclic compounds, compositions containing them, and methods of using them for the inhibition of Raf kinase activity are provided. The new compounds and compositions may be used either alone or in combination with at least one additional agent for the treatment of a Raf kinase mediated disorder, such as cancer.
摘要翻译：提供了新的取代的杂环化合物，含有它们的组合物，以及使用它们来抑制Raf激酶活性的方法。新化合物和组合物可以单独使用或与至少一种另外的药物组合使用，用于治疗Raf激酶介导的病症，例如癌症。

83. 发明申请

US20130173571A1 CLICK NOISE CHARACTERIZATION MODEL 有权
标题翻译：点击噪声特征模型
公开(公告)号：US20130173571A1
公开(公告)日：2013-07-04
申请号：US13341653
申请日：2011-12-30
申请人： Weizhu Chen , Zheng Chen , Adish Singla
发明人： Weizhu Chen , Zheng Chen , Adish Singla
IPC分类号： G06F17/30
CPC分类号： G06F17/30 , G06F17/30424 , G06F17/3053 , G06F17/30634 , G06F17/30657 , G06F17/30864
摘要： The techniques discussed herein consider a degree of noise associated with user clicks performed during search sessions. The techniques then generate a model that characterizes click noise so that search engines can more accurately infer document relevance.
摘要翻译：这里讨论的技术考虑了与在搜索会话期间执行的用户点击相关联的噪音程度。然后，该技术产生表征点击噪声的模型，使得搜索引擎可以更准确地推断文档相关性。

84. 发明申请

US20130138655A1 Web Knowledge Extraction for Search Task Simplification 有权
标题翻译： Web知识提取搜索任务简化
公开(公告)号：US20130138655A1
公开(公告)日：2013-05-30
申请号：US13307836
申请日：2011-11-30
申请人： Jun Yan , Lei Ji , Ning Liu , Zheng Chen
发明人： Jun Yan , Lei Ji , Ning Liu , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/30702 , G06F17/30867
摘要： Techniques are described for generating structured information from semi-structured web pages, and retrieving the structured knowledge in response to a user query that indicates a query intent. The structured information is automatically extracted offline from semi-structured web pages, through the use of an auto wrapper solution that is noise tolerant, scalable, and automatic. The structured information is stored in a knowledge base, and provided in response to a user search query that indicates a query intent. Extraction of structured information may also include clustering of pages based on their measured similarities. The clusters may be determined based on similar elements in the tag path text data of the pages. A minimum size threshold may be applied to the clusters.
摘要翻译：描述了用于从半结构化网页生成结构化信息的技术，以及响应于指示查询意图的用户查询来检索结构化知识。结构化信息通过使用具有噪声容限，可扩展和自动的自动包装解决方案，从半结构化网页离线自动提取。结构化信息存储在知识库中，并响应于指示查询意图的用户搜索查询而提供。结构化信息的提取还可以包括基于其测量的相似性来聚合页面。可以基于页面的标签路径文本数据中的类似元素来确定簇。可以将最小大小阈值应用于群集。

85. 发明授权

US08359276B2 Identifying influential persons in a social network 有权
标题翻译：识别社会网络中有影响力的人物
公开(公告)号：US08359276B2
公开(公告)日：2013-01-22
申请号：US11533742
申请日：2006-09-20
申请人： Dong Zhuang , Benyu Zhang , Heng Zhang , Jeremy Tantrum , Teresa Mah , Hua-Jun Zeng , Zheng Chen , Jian Wang
发明人： Dong Zhuang , Benyu Zhang , Heng Zhang , Jeremy Tantrum , Teresa Mah , Hua-Jun Zeng , Zheng Chen , Jian Wang
IPC分类号： G06Q99/00
CPC分类号： G06Q30/02 , G06Q10/10
摘要： An influential persons identification system and method for identifying a set of influential persons (or influencers) in a social network (such as an online social network). The influential persons set is generated such that by sending a message to the set the message will be propagated through the network at the greatest speed and coverage. A ranking of users is generated, and a pruning process is performed starting with the top-ranked user and working down the list. For each user on the list, the user is identified as an influencer and then the user and each of his friends are deleted from the social network users list. Next, the same process is performed for the second-ranked user, the third-ranked user, and so forth. The process terminates when the list of users of the social network is exhausted or the desired number of influencers on the influential person set is reached.
摘要翻译：在社交网络（如在线社交网络）中识别一组有影响力的人（或影响者）的有影响力的人员识别系统和方法。产生有影响力的人员，通过发送消息给消息集，消息将以最大的速度和覆盖率通过网络传播。生成用户排名，并从顶级用户开始执行修剪过程，并在列表中执行操作。对于列表中的每个用户，用户被识别为影响者，然后从社交网络用户列表中删除用户和他的每个朋友。接下来，对于第二等级的用户，第三等级的用户等执行相同的处理。当社交网络的用户列表用完或者达到期望数量的有影响力的人集合的影响者时，该过程终止。

86. 发明授权

US08351287B1 Bitline floating circuit for memory power reduction 有权
标题翻译：位线浮动电路用于存储器功率降低
公开(公告)号：US08351287B1
公开(公告)日：2013-01-08
申请号：US12976412
申请日：2010-12-22
申请人： Rohith Sood , Fabiano Fontana , Zheng Chen
发明人： Rohith Sood , Fabiano Fontana , Zheng Chen
IPC分类号： G11C7/00
CPC分类号： G11C11/419 , G11C7/12 , G11C11/412 , H03K19/0008 , H03K19/0016
摘要： Techniques are provided which may be used to reduce power consumed by memory circuits. In one example, a memory circuit includes a static random access memory (SRAM) cell. A pair of bitlines are connected to the SRAM cell. A precharge circuit is connected to the bitlines. The precharge circuit is adapted to precharge the bitlines immediately prior to read and write operations performed on the SRAM cell and float relative to the bitlines at other times.
摘要翻译：提供了可用于减少存储器电路消耗的功率的技术。在一个示例中，存储器电路包括静态随机存取存储器（SRAM）单元。一对位线连接到SRAM单元。预充电电路连接到位线。预充电电路适用于在对SRAM单元进行读和写操作之前立即对位线进行预充电，而在其它时间相对于位线浮动。

87. 发明授权

US08290921B2 Identification of similar queries based on overall and partial similarity of time series 有权
标题翻译：基于时间序列的总体和部分相似性识别类似查询
公开(公告)号：US08290921B2
公开(公告)日：2012-10-16
申请号：US11770505
申请日：2007-06-28
申请人： Ning Liu , Jun Yan , Benyu Zhang , Zheng Chen , Jian Wang
发明人： Ning Liu , Jun Yan , Benyu Zhang , Zheng Chen , Jian Wang
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/30864 , G06F17/3064
摘要： Techniques for identifying similar queries based on their overall similarity and partial similarity of time series of frequencies of the queries are provided. To identify queries that are similar to a target query, the query analysis system generates, for each query, an overall similarity score for that query and the target query based on the time series of the query and the target query. The query analysis system also generates, for each query, partial similarity scores for the query and the target query based on various time sub-series of the overall time series of the queries. The query analysis system then identifies queries as being similar to the target query based on the overall similarity scores and the partial similarity scores of the queries.
摘要翻译：提供了基于其查询的时间序列的总体相似性和部分相似性来识别类似查询的技术。为了识别类似于目标查询的查询，查询分析系统根据查询和目标查询的时间序列为每个查询生成该查询和目标查询的总体相似性得分。查询分析系统还根据查询的整个时间序列的各种时间子序列，为每个查询生成查询和目标查询的部分相似度分数。然后，查询分析系统基于查询的总体相似性得分和部分相似性得分将查询识别为与目标查询相似。

88. 发明申请

US20120259801A1 TRANSFER OF LEARNING FOR QUERY CLASSIFICATION 有权
标题翻译：转学习查询分类
公开(公告)号：US20120259801A1
公开(公告)日：2012-10-11
申请号：US13081391
申请日：2011-04-06
申请人： Lei Ji , Jun Yan , Ning Liu , Zheng Chen
发明人： Lei Ji , Jun Yan , Ning Liu , Zheng Chen
IPC分类号： G06F15/18
CPC分类号： G06N99/005
摘要： Transfer of learning trains a new domain for the classification of search queries according to different tasks, as well as the generation of a corresponding domain-specific query classifier that may be used to classify the search queries according to the different tasks in the new domain. The transfer of learning may include preparing a new domain to receive classification knowledge from one or more source domains by populating the new domain with preliminary query patterns extracted for a search engine log. The transfer of learning may further include preparing the classification knowledge in each source domain for transfer to the new domain. The classification knowledge in each source domain may then be transferred to the new domain.
摘要翻译：学习的转移为根据不同任务对搜索查询进行分类的新领域提供了新的领域，以及生成可用于根据新域中的不同任务对搜索查询进行分类的相应的域特定查询分类器。学习的转移可能包括准备一个新的域，以通过用搜索引擎日志提取的初步查询模式填充新域来从一个或多个源域接收分类知识。学习的转移还可以包括准备每个源域中的分类知识以转移到新的域。然后可以将每个源域中的分类知识转移到新域。

89. 发明申请

US20120151386A1 IDENTIFYING ACTIONS IN DOCUMENTS USING OPTIONS IN MENUS 审中-公开
标题翻译：使用菜单中的选项识别文档中的操作
公开(公告)号：US20120151386A1
公开(公告)日：2012-06-14
申请号：US12964997
申请日：2010-12-10
申请人： Jian-Tao Sun , Xiaochuan Ni , Zheng Chen
发明人： Jian-Tao Sun , Xiaochuan Ni , Zheng Chen
IPC分类号： G06F3/048
CPC分类号： G06F16/93 , G06F3/016 , G06F3/0482 , G06F16/285 , G06F16/957 , G09B21/003
摘要： Documents such as web pages may be regarded as offering various actions; e.g., a website for a movie theater may offer options for viewing movie listings and purchasing tickets. A user may wish to view the set of actions available for a particular document, and/or the performance of an action. However, it may be difficult to identify available actions with acceptable accuracy in an automated manner, and the set of documents (such as the entire worldwide web) may be too voluminous for human identification. In order to identify available actions, the document may be searched for menus containing options, and identifying the actions associated with each option according to an option score. Additionally, documents may be grouped into document categories (e.g., websites for movie theaters and websites for musicians) to facilitate the association options in similar documents with similar sets of actions that are often provided for such documents.
摘要翻译：网页等文件可能被视为提供各种动作; 例如，电影院的网站可以提供用于观看电影列表和购买票的选项。用户可能希望查看可用于特定文档的一组动作和/或动作的执行。然而，以自动方式可能以可接受的准确度来识别可用的动作可能是困难的，并且一组文档（例如整个全球网络）对于人类识别可能太大了。为了识别可用的动作，可以搜索包含选项的菜单的文档，以及根据选项分数来识别与每个选项相关联的动作。此外，文档可以被分组为文档类别（例如，用于电影院的网站和用于音乐家的网站），以促进类似文档中的关联选项，其具有通常为这些文档提供的相似动作集。

90. 发明申请

US20120130967A1 CLASSIFICATION OF TRANSACTIONAL QUERIES BASED ON IDENTIFICATION OF FORMS 有权
标题翻译：基于形式识别的交易性查询分类
公开(公告)号：US20120130967A1
公开(公告)日：2012-05-24
申请号：US12948846
申请日：2010-11-18
申请人： Xiaochuan Ni , Jian-tao Sun , Zheng Chen
发明人： Xiaochuan Ni , Jian-tao Sun , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/30657
摘要： A method for identifying transactional queries includes associating user queries with forms clicks on by users who employ a search engine to place the queries during query sessions. A score is assigned to each user query. The score reflects a likelihood that the respective query is a transactional query. The query is classified as a transactional query if the score exceeds a threshold value.
摘要翻译：用于识别事务查询的方法包括将用户查询与使用搜索引擎的用户点击的表单相关联，以在查询会话期间放置查询。分数分配给每个用户查询。分数反映了相应查询是事务查询的可能性。如果分数超过阈值，则查询被分类为事务查询。

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