公开(公告)号：US08825648B2

公开(公告)日：2014-09-02

申请号：US12760844

申请日：2010-04-15

申请人： Xiaochuan Ni ,  Jian-Tao Sun ,  Zheng Chen ,  Jian Hu

发明人： Xiaochuan Ni ,  Jian-Tao Sun ,  Zheng Chen ,  Jian Hu

IPC分类号： G06F17/30

CPC分类号： G06F17/30705 ,  G06F17/277 ,  G06F17/30386 ,  G06F17/30731

摘要： Techniques for utilizing data mining technology to extract universal topics with multilingual representations from a multilingual database, and to organize existing or new documents in different languages by analyzing their respective topic distributions.

摘要翻译： 利用数据挖掘技术从多语言数据库中提取多语言表示的通用主题的技术，并通过分析各自的主题分布来组织不同语言的现有或新文档。

公开(公告)号：US20140223381A1

公开(公告)日：2014-08-07

申请号：US13201823

申请日：2011-05-23

申请人： Xuedong Huang ,  Zheng Chen ,  Zhimin Zhang ,  Jian-Tao Sun ,  Peng Bai ,  Xiaochuan Ni ,  Mario Esposito

发明人： Xuedong Huang ,  Zheng Chen ,  Zhimin Zhang ,  Jian-Tao Sun ,  Peng Bai ,  Xiaochuan Ni ,  Mario Esposito

IPC分类号： G06F3/01 ,  G06F3/0484 ,  G06F3/0487

CPC分类号： G06F3/017 ,  G06F3/03547 ,  G06F3/04842 ,  G06F3/0485 ,  G06F3/0487 ,  G06F3/0488 ,  G06F3/04883 ,  G06F16/9577 ,  G06F2203/04808 ,  G06K9/00335 ,  H04M2250/22

摘要： An invisible control may be implemented in a client device or in an application of the client device. A user may activate the invisible control by applying a gesture on a predetermined region of the client device or the application. In response to receiving the user gesture, a predetermined action associated with the invisible control may be activated. The predetermined action may be applied to the application or some or all of the content associated with the application. An Application Programming Interface may further be provided to allow the user, an application vendor or a content provider to customize the invisible control or operating modes associated with activation of the invisible control.

摘要翻译： 可以在客户端设备或客户端设备的应用中实现不可见的控制。 用户可以通过在客户端设备或应用的预定区域上施加手势来激活不可见控制。 响应于接收到用户手势，可以激活与不可见控制相关联的预定动作。 可以将预定动作应用于应用程序或与应用程序相关联的部分或全部内容。 可以进一步提供应用编程接口以允许用户，应用供应商或内容提供商定制与不可见控制的激活相关联的不可见控制或操作模式。

公开(公告)号：US20130226935A1

公开(公告)日：2013-08-29

申请号：US13408853

申请日：2012-02-29

申请人： Peng Bai ,  Zheng Chen ,  Xuedong David Huang ,  Xiaochuan Ni ,  Jian-Tao Sun ,  Zhimin Zhang

发明人： Peng Bai ,  Zheng Chen ,  Xuedong David Huang ,  Xiaochuan Ni ,  Jian-Tao Sun ,  Zhimin Zhang

IPC分类号： G06F17/30

CPC分类号： G06N20/00 ,  G06F16/3322

摘要： Searching is assisted by recognizing a selection of text from a document as an indication that a user wishes to initiate a search based on the selected text. The user is provided with query suggestions based on the selected text and the query suggestions are ranked based on a context provided by the document. The user may select the text by using a mouse, drawing a circle around the text on a touch screen, or by other input techniques. The query suggestions may be based on query reformulation or query expansion techniques applied to the selected text. Context provided by the document is used by a language model and/or an artificial intelligence system to rank the query suggestions in predicted order of relevance based on the selected text and the context.

摘要翻译： 通过从文档中识别文本的选择来辅助搜索，作为用户希望基于所选择的文本发起搜索的指示。 基于所选择的文本向用户提供查询建议，并且基于文档提供的上下文对查询建议进行排名。 用户可以通过使用鼠标选择文本，在触摸屏上围绕文本绘制圆圈，或通过其他输入技术。 查询建议可以基于应用于所选文本的查询重构或查询扩展技术。 由文档提供的上下文由语言模型和/或人工智能系统用于基于所选择的文本和上下文以预测的相关顺序对查询建议进行排序。

公开(公告)号：US08489625B2

公开(公告)日：2013-07-16

申请号：US12955758

申请日：2010-11-29

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： G06F17/30867

摘要： The techniques describe recommending mobile query suggestions by integrating time and location in response to a query input submitted on a mobile computing device. A process constructs a bipartite graph by extracting users that submitted queries from mobile search logs and associating time and location with the submitted queries. The process determines the users are similar having submitted similar queries at similar times and at similar locations. The process receives a query input associated with a current time and a current location of a mobile computing device. Next, the process computes a relatedness of candidate queries to the query input based on a similarity between the user groups having submitted both the candidate queries and the query input, and distances of times and locations at which the user previously issued the query input and the candidate queries.

摘要翻译： 该技术描述了通过集成时间和位置来响应在移动计算设备上提交的查询输入来推荐移动查询建议。 流程通过提取从移动搜索日志提交查询的用户并将时间和位置与提交的查询相关联来构建二分图。 该过程确定用户在类似的时间和类似的位置提交类似的查询是相似的。 该过程接收与当前时间和移动计算设备的当前位置相关联的查询输入。 接下来，该过程基于已经提交候选查询和查询输入的用户组之间的相似度以及用户先前发布查询输入的时间和位置的距离以及相关性，来计算候选查询与查询输入的相关性 候选查询。

公开(公告)号：US20120136855A1

公开(公告)日：2012-05-31

申请号：US12955758

申请日：2010-11-29

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： G06F17/30867

摘要： The techniques describe recommending mobile query suggestions by integrating time and location in response to a query input submitted on a mobile computing device. A process constructs a bipartite graph by extracting users that submitted queries from mobile search logs and associating time and location with the submitted queries. The process determines the users are similar having submitted similar queries at similar times and at similar locations. The process receives a query input associated with a current time and a current location of a mobile computing device. Next, the process computes a relatedness of candidate queries to the query input based on a similarity between the user groups having submitted both the candidate queries and the query input, and distances of times and locations at which the user previously issued the query input and the candidate queries.

摘要翻译： 该技术描述了通过集成时间和位置来响应在移动计算设备上提交的查询输入来推荐移动查询建议。 流程通过提取从移动搜索日志提交查询的用户并将时间和位置与提交的查询相关联来构建二分图。 该过程确定用户在类似的时间和类似的位置提交类似的查询是相似的。 该过程接收与当前时间和移动计算设备的当前位置相关联的查询输入。 接下来，该过程基于已经提交候选查询和查询输入的用户组之间的相似度以及用户先前发布查询输入的时间和位置的距离以及相关性，来计算候选查询与查询输入的相关性 候选查询。

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。

公开(公告)号：US08949215B2

公开(公告)日：2015-02-03

申请号：US12038588

申请日：2008-02-27

申请人： Min Wang ,  Zheng Chen ,  Jian-Tao Sun ,  Shen Huang ,  Jian Wang

发明人： Min Wang ,  Zheng Chen ,  Jian-Tao Sun ,  Shen Huang ,  Jian Wang

IPC分类号： G06F17/30

CPC分类号： G06F17/30696 ,  G06F17/30643 ,  G06F17/30864

摘要： An exemplary computer implemented graphics-based Web search system includes a search input control and a results presentation control where the search input control is configured to receive user input to establish a relationship between a query and one or more information tags associated with search results provided by a search engine in response to the query and wherein the results presentation control is configured to re-order the search results in response to the relationship. Such a system allows a user to define and refine search intent and enhance the user's search experience. Various other exemplary systems, methods, devices, etc. are also disclosed.

摘要翻译： 示例性的计算机实现的基于图形的Web搜索系统包括搜索输入控制和结果呈现控制，其中搜索输入控件被配置为接收用户输入以建立查询与与由搜索结果提供的搜索结果相关联的一个或多个信息标签之间的关系 搜索引擎，其响应于所述查询，并且其中所述结果呈现控制被配置为响应于所述关系重新排序所述搜索结果。 这样的系统允许用户定义和优化搜索意图并增强用户的搜索体验。 还公开了各种其它示例性系统，方法，装置等。

公开(公告)号：US08731995B2

公开(公告)日：2014-05-20

申请号：US12118764

申请日：2008-05-12

申请人： Jian-Tao Sun ,  Jian Hu ,  Christoph Ponath ,  Zheng Chen ,  Ling Bao ,  Qionghua Wang ,  Jianmin Wu

发明人： Jian-Tao Sun ,  Jian Hu ,  Christoph Ponath ,  Zheng Chen ,  Ling Bao ,  Qionghua Wang ,  Jianmin Wu

IPC分类号： G06Q30/00 ,  G06F17/27 ,  G06Q30/02

CPC分类号： G06Q30/0203 ,  G06F17/275 ,  G06F17/2775 ,  G06F17/2785 ,  G06Q10/10 ,  G06Q30/02 ,  G06Q30/0201 ,  G06Q30/0282 ,  G06Q99/00

摘要： A method of ranking a plurality of products includes obtaining a numerical user score for each of the plurality of products, calculating an opinion score for each of the plurality of products for which a written comparison sentiment applies, determining a final score by combining the numerical user rating and the opinion score for each of the plurality of products, and ranking the plurality of products based on the final score. The opinion score is derived from one or more written comparison sentiments containing a first product name and a second product name. In another aspect, a computer readable medium has instructions stored thereon which, when executed, cause a computer to perform a method of ranking a plurality of products including at least a first product and a second product.

摘要翻译： 一种对多个产品进行排名的方法包括获得多个产品中的每个产品的数字用户分数，计算应用了书面比较情绪的多个产品中的每个产品的意见分数，通过组合数字用户来确定最终分数 评价和多个产品中的每一个的意见得分，并且基于最终得分对多个产品进行排名。 意见分数来自包含第一个产品名称和第二个产品名称的一个或多个书面比较情绪。 在另一方面，计算机可读介质具有存储在其上的指令，当被执行时，其使得计算机执行对包括至少第一产品和第二产品的多个产品进行排序的方法。

公开(公告)号：US08682896B2

公开(公告)日：2014-03-25

申请号：US13412871

申请日：2012-03-06

申请人： Jian Hu ,  Jian-Tao Sun ,  Zheng Chen

发明人： Jian Hu ,  Jian-Tao Sun ,  Zheng Chen

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06N99/005 ,  G06F17/30707

摘要： Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence is described. An attribute identification (AI) framework comprises an offline training portion, an online prediction portion, and an AI algorithm module. The offline training portion utilizes the relationships between attributes within sentences input to the offline training portion to improve attribute identification of the AI algorithm module. The online prediction portion predicts, for each sentence input, the attributes of the sentence and the number of attributes the sentence is associated with by employing the AI algorithm module.

摘要翻译： 描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。 属性识别（AI）框架包括离线训练部分，在线预测部分和AI算法模块。 离线训练部分利用输入到离线训练部分的句子内的属性之间的关系来改善AI算法模块的属性识别。 在线预测部分通过使用AI算法模块来预测每个句子输入的句子的属性和句子相关联的属性的数量。

公开(公告)号：US08156119B2

公开(公告)日：2012-04-10

申请号：US12355987

申请日：2009-01-19

申请人： Jian Hu ,  Jian-Tao Sun ,  Zheng Chen

发明人： Jian Hu ,  Jian-Tao Sun ,  Zheng Chen

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06N99/005 ,  G06F17/30707

摘要： Techniques for identifying attributes in a sentence and determining a number of attributes to be associated with the sentence are described. The techniques employ an offline training portion, an online prediction portion, and an attribute identification algorithm. The offline training portion utilizes relationships between attributes within sentences input to the offline training portion to improve attribute identification of the attribute identification algorithm. The online prediction portion predicts, for each sentence input, the attributes of the sentence, and the number of attributes the sentence is associated with by employing the attribute identification algorithm.

摘要翻译： 描述用于识别句子中的属性并确定与句子相关联的属性的数量的技术。 该技术采用离线训练部分，在线预测部分和属性识别算法。 离线训练部分利用输入到离线训练部分的句子内的属性之间的关系来改进属性识别算法的属性识别。 在线预测部分通过使用属性识别算法来预测每个句子输入的句子的属性以及该句子所关联的属性的数量。