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51. 发明授权

US08731995B2 Ranking products by mining comparison sentiment 有权
标题翻译：通过采矿比较情绪对产品进行排名
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。

52. 发明授权

US08682896B2 Smart attribute classification (SAC) for online reviews 有权
标题翻译：智能属性分类（SAC）用于在线评论
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。

53. 发明授权

US08156119B2 Smart attribute classification (SAC) for online reviews 有权
标题翻译：智能属性分类（SAC）用于在线评论
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。

54. 发明申请

US20110078193A1 QUERY EXPANSION THROUGH SEARCHING CONTENT IDENTIFIERS 有权
标题翻译：通过搜索内容标识符查询扩展
公开(公告)号：US20110078193A1
公开(公告)日：2011-03-31
申请号：US12570948
申请日：2009-09-30
申请人： Zheng Chen , Gang Wang , Jian-Tao Sun , Xiaochuan Ni
发明人： Zheng Chen , Gang Wang , Jian-Tao Sun , Xiaochuan Ni
IPC分类号： G06F17/30
CPC分类号： G06F17/30392 , G06F17/30572
摘要： Techniques and technologies for expanding a gallery by seeding the gallery with seed query results. A template is identified which is associated with the subjects of the seed queries and content identifiers are identified which include the template. These content identifiers are used to expand the gallery to include more content identifiers than before the expansion of the gallery.
摘要翻译：通过种子查询结果种植画廊来扩大画廊的技术和技术。识别与种子查询的主题相关联的模板，并且识别包括模板的内容标识符。这些内容标识符用于展开图库以包括比展开图库之前更多的内容标识符。

55. 发明申请

US20080249764A1 Smart Sentiment Classifier for Product Reviews 审中-公开
标题翻译：智能情感分类器的产品评论
公开(公告)号：US20080249764A1
公开(公告)日：2008-10-09
申请号：US11950512
申请日：2007-12-05
申请人： Shen Huang , Ling Bao , Yunbo Cao , Zheng Chen , Chin-Yew Lin , Christoph R. Ponath , Jian-Tao Sun , Ming Zhou , Jian Wang
发明人： Shen Huang , Ling Bao , Yunbo Cao , Zheng Chen , Chin-Yew Lin , Christoph R. Ponath , Jian-Tao Sun , Ming Zhou , Jian Wang
IPC分类号： G06F17/27
CPC分类号： G06F17/2785
摘要： A sentiment classifier is described. In one implementation, a system applies both full text and complex feature analyses to sentences of a product review. Each analysis is weighted prior to linear combination into a final sentiment prediction. A full text model and a complex features model can be trained separately offline to support online full text analysis and complex features analysis. Complex features include opinion indicators, negation patterns, sentiment-specific sections of the product review, user ratings, sequence of text chunks, and sentence types and lengths. A Conditional Random Field (CRF) framework provides enhanced sentiment classification for each segment of a complex sentence to enhance sentiment prediction.
摘要翻译：描述情感分类器。在一个实现中，系统将全文和复杂特征分析应用于产品评论的句子。将每个分析在线性组合之前加权到最终情绪预测中。全文模型和复杂特征模型可以离线进行培训，以支持在线全文分析和复杂特征分析。复杂的功能包括意见指标，否定模式，产品评论中的情绪特定部分，用户评分，文本块的顺序以及句型和长度。条件随机场（CRF）框架为复杂句子的每个段提供增强的情感分类，以增强情绪预测。

56. 发明授权

US08768960B2 Enhancing keyword advertising using online encyclopedia semantics 有权
标题翻译：使用在线百科全书语义来增强关键字广告
公开(公告)号：US08768960B2
公开(公告)日：2014-07-01
申请号：US12356272
申请日：2009-01-20
申请人： Jian Hu , Jian-Tao Sun , Zheng Chen
发明人： Jian Hu , Jian-Tao Sun , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F17/2775 , G06F17/2785 , G06Q30/02
摘要： Disclosed are systems and methods for extracting semantic-based keywords through mining word semantics using an online encyclopedia's taxonomy. Described is the use a semantic bipartite graph that relates candidate keywords and topics.
摘要翻译：公开了通过使用在线百科全书分类法挖掘词义语义来提取基于语义的关键词的系统和方法。描述了使用关联候选关键字和主题的语义二分图。

57. 发明申请

US20140075393A1 Gesture-Based Search Queries 审中-公开
标题翻译：基于手势的搜索查询
公开(公告)号：US20140075393A1
公开(公告)日：2014-03-13
申请号：US13609259
申请日：2012-09-11
申请人： Tao Mei , Jingdong Wang , Shipeng Li , Jian-Tao Sun , Zheng Chen , Shiyang Lu
发明人： Tao Mei , Jingdong Wang , Shipeng Li , Jian-Tao Sun , Zheng Chen , Shiyang Lu
IPC分类号： G06F3/033
CPC分类号： G06F16/9032
摘要： An image-based text extraction and searching system extracts an image be selected by gesture input by a user and the associated image data and proximate textual data in response to the image selection. Extracted image data and textual data can be utilized to perform or enhance a computerized search. The system can determine one or more database search terms based on the textual data and generate at least a first search query proposal related to the image data and the textual data.
摘要翻译：基于图像的文本提取和搜索系统响应于图像选择提取由用户通过手势输入选择的图像以及相关联的图像数据和邻近的文本数据。提取的图像数据和文本数据可用于执行或增强计算机化搜索。系统可以基于文本数据确定一个或多个数据库搜索项，并生成至少与图像数据和文本数据相关的第一搜索查询提案。

58. 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.

59. 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。

60. 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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