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41. 发明授权

US07689624B2 Graph-based search leveraging sentiment analysis of user comments 有权
标题翻译：基于图形的搜索利用用户评论的情绪分析
公开(公告)号：US07689624B2
公开(公告)日：2010-03-30
申请号：US11712808
申请日：2007-03-01
申请人： Shen Huang , Min Wang , Jian-Tao Sun , Zheng Chen , Ming Zhou
发明人： Shen Huang , Min Wang , Jian-Tao Sun , Zheng Chen , Ming Zhou
IPC分类号： G06F17/30
CPC分类号： G06F17/30867
摘要： A search system and method is provided. The method includes constructing a graph-based query that is indicative of a user's preference-levels for different features of a search item (a product, for example). The constructed graph-based query is executed by comparing the user's preference-levels for the different features of the product, which are graphically represented in the query, with information related to sentiments expressed by other users regarding the product. Information related to the sentiments expressed by other users regarding the product can include system-generated product performance graphs constructed from comments regarding the product obtained from the World Wide Web (or other network). Results returned and output upon execution of the graph-based query include system-generated product performance graphs that are similar to the user-submitted query.
摘要翻译：提供了一种搜索系统和方法。该方法包括构建基于图表的查询，其指示用户对于搜索项（例如，产品）的不同特征的偏好级别。通过将查询中以图形表示的产品的不同特征的用户偏好等级与由其他用户对产品表达的情绪相关的信息进行比较来执行构造的基于图的查询。与其他用户对产品表达的情绪相关的信息可以包括由从万维网（或其他网络）获得的产品的评论构成的系统生成的产品性能图。在执行基于图形的查询时返回并输出的结果包括与用户提交的查询类似的系统生成的产品性能图。

42. 发明申请

US20140052751A1 SMART USER-CENTRIC INFORMATION AGGREGATION 有权
标题翻译： SMART用户中心信息聚合
公开(公告)号：US20140052751A1
公开(公告)日：2014-02-20
申请号：US13586711
申请日：2012-08-15
申请人： Jianwen Zhang , Zhimin Zhang , Jian-Tao Sun , Jun Yan , Ning Liu , Lei Ji , Weizhu Chen , Zheng Chen
发明人： Jianwen Zhang , Zhimin Zhang , Jian-Tao Sun , Jun Yan , Ning Liu , Lei Ji , Weizhu Chen , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/30032 , G06F17/30905
摘要： A smart user-centric information aggregation system allows a user to define a region of content displayed in a display of a device and performs information aggregation on behalf of the user. The smart user-centric information aggregation system searches, aggregates and groups information related to content included in the region of content for the user while the user can continue to perform his/her original course of actions without interruption. After finding information related to the desired content, the smart user-centric information aggregation system may notify the user and present the found information to the user upon receiving confirmation from the user. The smart user-centric information aggregation system may continue to find new related information and update the presentation with the newly found information periodically, in some instances without user intervention or input.
摘要翻译：以智能用户为中心的信息聚合系统允许用户定义显示在设备显示器中的内容区域，并代表用户执行信息聚合。智能用户为中心的信息聚合系统在用户可以继续执行他/她的原始行为过程而不间断地搜索，聚合和分组与用户内容区域中包含的内容相关的信息。在找到与期望内容相关的信息之后，智能用户为中心的信息聚合系统可以在接收到来自用户的确认时通知用户并向用户呈现找到的信息。以智能用户为中心的信息聚合系统可以继续寻找新的相关信息，并且在某些情况下，不需要用户干预或输入，定期更新新发现的信息。

43. 发明申请

US20080249762A1 CATEGORIZATION OF DOCUMENTS USING PART-OF-SPEECH SMOOTHING 审中-公开
标题翻译：使用部分语音播放的文档分类
公开(公告)号：US20080249762A1
公开(公告)日：2008-10-09
申请号：US11697112
申请日：2007-04-05
申请人： Jian Wang , Jian-Tao Sun , Shen Huang , Zheng Chen
发明人： Jian Wang , Jian-Tao Sun , Shen Huang , Zheng Chen
IPC分类号： G06F17/20
CPC分类号： G06F17/2785
摘要： A method and system is provided for classifying documents based on the subjectivity of the content of the documents using a part-of-speech analysis to help account for unseen words. A classification system trains a classifier using the parts of speech of training documents so that the classifier can classify unseen words based on the part of speech of the unseen word. The classification system then trains a part-of-speech model using the parts of speech of the n-grams of training data and labels of the training documents, and trains a term model using the term unigrams and labels. To classify a target document, the classification system applies the part-of-speech model to the part-of-speech n-grams of the target document and the term model to term n-grams of the target document.
摘要翻译：提供了一种方法和系统，用于使用语音分析基于文档内容的主观性对文档进行分类，以帮助解释看不见的单词。分类系统使用训练文档的部分语言训练分类器，以便分类器可以根据不可见词的部分语言对不可见的单词进行分类。然后，分类系统使用训练数据的n-gram和训练文档的标签的词性训练一部分语音模型，并且使用术语单词和标签来训练术语模型。为了对目标文件进行分类，分类系统将部分词汇模型应用于目标文档的词性n-gram和目标文档的术语模型至术语n-gram。

44. 发明申请

US20080215571A1 PRODUCT REVIEW SEARCH 审中-公开
标题翻译：产品评论搜索
公开(公告)号：US20080215571A1
公开(公告)日：2008-09-04
申请号：US12024930
申请日：2008-02-01
申请人： Shen Huang , Jian-Tao Sun , Jianmin Wu , Min Wang , Zheng Chen
发明人： Shen Huang , Jian-Tao Sun , Jianmin Wu , Min Wang , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F16/345
摘要： This disclosure describes various exemplary methods, computer program products, and user interfaces that provide results for a product review search with opinion snippets and opinion visual graphs. This disclosure describes identifying user opinions by extracting passages that contain subjective opinions from web pages; ranking the user opinions by incorporating sentiment orientations and sentiment topics, where the sentiment orientations are positive or negative; and generating review snippets to indicate user sentiment orientations and to describe user opinions toward product features. This disclosure improves a user product search experience from the following aspects: understanding the product review from snippets instead of browsing the web page; obtaining more information by reading reviews in a shorter time period; and obtaining overall opinions of users of the web through visualized opinion summarization.
摘要翻译：本公开描述了各种示例性方法，计算机程序产品和用于提供具有意见摘要和意见视图的产品评论搜索结果的用户界面。本公开描述通过从网页提取包含主观意见的段落来识别用户意见; 通过纳入情绪方向和情绪主题，使情绪取向为正面或负面，对用户意见进行排名; 并产生评论片段以指示用户情绪取向并描述用户对产品功能的意见。本公开改进了以下方面的用户产品搜索体验：从片段中理解产品评论而不是浏览网页; 通过在较短的时间内阅读评论获得更多信息; 并通过可视化意见总结获取网络用户的整体意见。

45. 发明申请

US20080208819A1 GUI BASED WEB SEARCH 有权
标题翻译：基于GUI的网页搜索
公开(公告)号：US20080208819A1
公开(公告)日：2008-08-28
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。

46. 发明申请

US20120278162A1 CONDUCTING AN AUCTION OF SERVICES RESPONSIVE TO POSITIONAL SELECTION 审中-公开
标题翻译：执行对立场选择的服务的拍卖
公开(公告)号：US20120278162A1
公开(公告)日：2012-11-01
申请号：US13097081
申请日：2011-04-29
申请人： Jiantao Sun , Jun Yan , Lei Ji , Ning Liu , Peng Bai , Xuedong Huang , Xiaochuan Ni , Zhimin Zhang , Zheng Chen
发明人： Jiantao Sun , Jun Yan , Lei Ji , Ning Liu , Peng Bai , Xuedong Huang , Xiaochuan Ni , Zhimin Zhang , Zheng Chen
IPC分类号： G06Q30/00 , G06F17/30 , G06F15/16
CPC分类号： G06Q30/0261
摘要： Various technologies pertaining to provision of graphical data to a client computing device responsive to receipt of a positional selection on a web page by a user of a client computing device are described herein. A computer-executable application executing on the client computing device detects that the user has selected a certain position on the web page, wherein this application is not called by code of the web page. The position is transmitted to an ad server, which conducts an auction for display space on the client computing device based at least in part upon the detection of the certain position.
摘要翻译：这里描述了有关根据客户端计算设备的用户接收到网页上的位置选择而向客户计算设备提供图形数据的各种技术。在客户端计算设备上执行的计算机可执行应用程序检测到用户已经选择了网页上的某个位置，其中该应用不被网页的代码调用。该位置被传送到广告服务器，该广告服务器至少部分地基于对某个位置的检测来对客户端计算设备上的显示空间进行拍卖。

47. 发明申请

US20100191746A1 Competitor Analysis to Facilitate Keyword Bidding 审中-公开
标题翻译：竞争对手分析促进关键字出价
公开(公告)号：US20100191746A1
公开(公告)日：2010-07-29
申请号：US12360096
申请日：2009-01-26
申请人： Gang Wang , Jian Hu , Hua Li , Zheng Chen
发明人： Gang Wang , Jian Hu , Hua Li , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： Disclosed herein are one or more embodiments that facilitate selection of keywords for bidding by an advertiser having a website. One or more of the disclosed embodiments may process a click-through log to determine measures of competitiveness for a plurality of websites extracted from the click-through log. Also, the one or more disclosed embodiments may, for one of the websites, determine a ranking of competing websites based at least in part on the measures of competitiveness. The ranking of competing websites may be used to facilitate selection of keywords for bidding.
摘要翻译：这里公开的是一个或多个实施例，其有助于选择具有网站的广告商进行投标的关键字。所公开的实施例中的一个或多个可以处理点击日志以确定从点击日志提取的多个网站的竞争力的度量。此外，一个或多个公开的实施例可以针对一个网站，至少部分地基于竞争力的度量来确定竞争网站的排名。竞争网站的排名可能用于促进选择出价的关键字。

48. 发明授权

US07739261B2 Identification of topics for online discussions based on language patterns 有权
标题翻译：基于语言模式识别在线讨论的主题
公开(公告)号：US07739261B2
公开(公告)日：2010-06-15
申请号：US11763282
申请日：2007-06-14
申请人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Duo Zhang , Jian Wang
发明人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Duo Zhang , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30731 , G06Q30/02
摘要： A topic identification system identifies topics of online discussions by iteratively identifying topic words or keywords of the online discussions and identifying language patterns associated with those keywords. The topic identification system starts out with an initial set of keywords and identifies language patterns that each include a keyword. The topic identification system then uses the identified language patterns to identify additional keywords of the online discussion that match the patterns. The topic identification system then again identifies language patterns using the keywords including the newly identified keywords. The topic identification system may repeat the process of identifying language patterns and keywords until a termination criterion is satisfied.
摘要翻译：主题识别系统通过迭代地识别在线讨论的主题或关键字并识别与这些关键字相关联的语言模式来识别在线讨论的主题。主题识别系统以一组初始关键字开始，并识别每个关键字的语言模式。然后，主题识别系统使用所识别的语言模式来识别与模式匹配的在线讨论的附加关键字。然后，主题识别系统再次使用包括新确定的关键字的关键字来识别语言模式。主题识别系统可以重复识别语言模式和关键字的过程，直到满足终止标准。

49. 发明申请

US20080300971A1 ADVERTISEMENT APPROVAL BASED ON TRAINING DATA 审中-公开
标题翻译：基于培训数据的广告批准
公开(公告)号：US20080300971A1
公开(公告)日：2008-12-04
申请号：US11755523
申请日：2007-05-30
申请人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Jian Wang
发明人： Hua-Jun Zeng , Hua Li , Jian Hu , Zheng Chen , Jian Wang
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0242 , G06Q30/0254 , G06Q30/0256 , G06Q30/0263
摘要： A system for determining whether to approve a target document (e.g., advertisement) is provided. The system trains a classifier using tuples of words from appropriate documents and tuples of words from inappropriate documents. To approve a target document, the system identifies tuples of words of the target document. The system then applies the classifier to the identified tuples to classify the document as being appropriate or inappropriate. If the document is classified as appropriate, the system automatically approves the document.
摘要翻译：提供用于确定是否批准目标文档（例如，广告）的系统。系统使用适当文件的单词组和不适当文件的单词元组来训练分类器。要批准目标文档，系统会标识目标文档的单词元组。然后，系统将分类器应用于所识别的元组，以将文档分类为合适或不合适。如果文档被分类为适当的，系统将自动批准文档。

50. 发明申请

US20080208841A1 CLICK-THROUGH LOG MINING 有权
标题翻译：点击通过日志采矿
公开(公告)号：US20080208841A1
公开(公告)日：2008-08-28
申请号：US11870359
申请日：2007-10-10
申请人： Huajun Zeng , Jian Hu , Hua Li , Zheng Chen , Jian Wang
发明人： Huajun Zeng , Jian Hu , Hua Li , Zheng Chen , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30648 , G06F17/30672 , G06F17/30864
摘要： Click-through log mining is described. Raw search click-through log data is processed to generate ordered query keywords, utilizing an algorithm to expand user-submitted keywords to include high frequency user queries, managing the keywords for a keyword expansion file, analyzing the algorithm performance on a bidding criteria, and identifying related phrases with similar page-click behaviors for advertisements.
摘要翻译：描述了点击式日志挖掘。处理原始搜索点击后日志数据以生成有序查询关键字，利用算法来扩展用户提交的关键字以包括高频用户查询，管理关键字扩展文件的关键字，以出价标准分析算法性能;以及识别与广告相似的页面点击行为的相关短语。

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