公开(公告)号：US07428529B2

公开(公告)日：2008-09-23

申请号：US10825894

申请日：2004-04-15

申请人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

发明人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30864 ,  G06F17/3064 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99937

摘要： Systems and methods for related term suggestion are described. In one aspect, term clusters are generated as a function of calculated similarity of term vectors. Each term vector having been generated from search results associated with a set of high frequency of occurrence (FOO) historical queries previously submitted to a search engine. Responsive to receiving a term/phrase from an entity, the term/phrase is evaluated in view of terms/phrases in the term clusters to identify one or more related term suggestions.

摘要翻译： 描述相关术语建议的系统和方法。 在一个方面，产生术语簇作为计算的项目向量相似度的函数。 从与先前提交给搜索引擎的一组高频率（FOO）历史查询相关联的搜索结果生成每个词向量。 响应于从实体接收术语/短语，根据术语集合中的术语/短语来评估术语/短语以识别一个或多个相关术语建议。

公开(公告)号：US07346621B2

公开(公告)日：2008-03-18

申请号：US10846835

申请日：2004-05-14

申请人： Benyu Zhang ,  Hua-Jun Zeng ,  Wei-Ying Ma ,  Wensi Xi ,  Zheng Chen ,  Edward A. Fox

发明人： Benyu Zhang ,  Hua-Jun Zeng ,  Wei-Ying Ma ,  Wensi Xi ,  Zheng Chen ,  Edward A. Fox

IPC分类号： G06F17/30

CPC分类号： G06F17/30864 ,  G06F17/30882 ,  Y10S707/954 ,  Y10S707/955 ,  Y10S707/962 ,  Y10S707/99942 ,  Y10S707/99943

摘要： A method and system for ranking objects based on relationships with objects of a different object type is provided. The ranking system defines an equation for each attribute of each type of object. The equations define the attribute values and are based on relationships between the attribute and the attributes associated with the same type of object and different types of objects. The ranking system iteratively calculates the attribute values for the objects using the equations until the attribute values converge on a solution. The ranking system then ranks objects based on attribute values.

摘要翻译： 提供了一种用于基于与不同对象类型的对象的关系对对象进行排序的方法和系统。 排名系统定义每种类型对象的每个属性的方程。 方程式定义属性值，并且基于属性和与相同类型的对象和不同类型对象相关联的属性之间的关系。 排序系统使用等式迭代地计算对象的属性值，直到属性值收敛于解。 然后，排名系统根据属性值排列对象。

公开(公告)号：US20060282309A1

公开(公告)日：2006-12-14

申请号：US11147247

申请日：2005-06-08

申请人： Benyu Zhang ,  Fengping Zeng ,  Hua-Jun Zeng ,  Li Li ,  Tarek Najm ,  Wei-Ying Ma ,  Ying Li ,  Zheng Chen

发明人： Benyu Zhang ,  Fengping Zeng ,  Hua-Jun Zeng ,  Li Li ,  Tarek Najm ,  Wei-Ying Ma ,  Ying Li ,  Zheng Chen

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0207 ,  G06Q30/0247 ,  G06Q30/0251

摘要： A peer-to-peer advertisement platform is provided to ubiquitously promote products or services supplied by advertisers across content-based applications executing on nodes in a peer-to-peer network. The peer-to-peer advertisement platform may include a registration component to register nodes in the peer-to-peer advertising platform, an advertisement submission component to receive advertisement data from the advertisers, and a distribution component to distribute the advertisement data to the nodes registered in the peer-to-peer advertisement platform. The peer-to-peer advertisement platform also includes a money sharing component to reward nodes based on a contribution level assigned to the node. Accordingly, the peer-to-peer advertisement platform stores the advertisement data locally at the plurality of nodes registered in the peer-to-peer advertising platform and shares a portion of the revenue generated from the advertisement data with the nodes registered in the peer-to-peer advertising platform.

公开(公告)号：US20060112392A1

公开(公告)日：2006-05-25

申请号：US11130803

申请日：2005-05-16

申请人： Benyu Zhang ,  Zheng Chen ,  Wensi Xi ,  Hua-Jun Zeng ,  Wei-Ying Ma

发明人： Benyu Zhang ,  Zheng Chen ,  Wensi Xi ,  Hua-Jun Zeng ,  Wei-Ying Ma

IPC分类号： G06F9/46

CPC分类号： H04L51/26 ,  H04L51/16 ,  H04L51/34 ,  Y10S707/99933 ,  Y10S707/99943

摘要： A method and system for ranking messages of discussion threads based on relationships between messages and authors is provided. The ranking system defines an equation for attributes of a message and an author. The equations define the attribute values and are based on relationships between the attribute and the attributes associated with the same type of object, and different types of objects. The ranking system iteratively calculates the attribute values for the objects using the equations until the attribute values converge on a solution. The ranking system then ranks the messages based on attribute values.

摘要翻译： 提供了一种基于消息和作者之间的关系对讨论线程的消息进行排序的方法和系统。 排名系统定义了消息和作者属性的方程式。 方程定义属性值，并且基于属性和与相同类型对象相关联的属性以及不同类型对象之间的关系。 排序系统使用等式迭代地计算对象的属性值，直到属性值收敛于解。 然后，排名系统根据属性值排列消息。

公开(公告)号：US20060059121A1

公开(公告)日：2006-03-16

申请号：US10930617

申请日：2004-08-31

申请人： Benyu Zhang ,  Hua-Jun Zeng ,  Wei-Ying Ma ,  Zheng Chen

发明人： Benyu Zhang ,  Hua-Jun Zeng ,  Wei-Ying Ma ,  Zheng Chen

IPC分类号： G06F17/30 ,  G06K9/62

CPC分类号： G06F16/313 ,  G06F16/38

摘要： A system that identifies a person associated with a document is provided. The system retrieves a name associated with a document and reduces the name to a canonical form. The system then compares the canonical form of the name to the canonical form of the names of known persons. If a match is not found, then the system indicates that the person whose name is associated with the document is a previously unknown person. If a match is found, then the system compares attributes of the document with attributes of documents associated with the matching known person. If those attributes are similar, then the system indicates that the person whose name is associated with the document is the matching known person. Otherwise, the system indicates that the person whose name is associated with the document is a previously unknown person.

摘要翻译： 提供了识别与文档相关联的人的系统。 系统检索与文档关联的名称，并将名称缩小为规范形式。 然后，系统将名称的规范形式与已知人员的名称的规范形式进行比较。 如果没有找到匹配项，则系统指示姓名与该文档相关联的人员是以前未知的人员。 如果找到匹配项，则系统将文档的属性与匹配的已知人员相关联的文档的属性进行比较。 如果这些属性相似，系统会指出姓名与文档相关联的人员是匹配的已知人员。 否则，系统表示姓名与文档相关联的人员是以前未知的人员。

公开(公告)号：US20060036596A1

公开(公告)日：2006-02-16

申请号：US10918242

申请日：2004-08-13

申请人： Benyu Zhang ,  Wei-Ying Ma ,  Zheng Chen ,  Hua-Jun Zeng ,  Dou Shen

发明人： Benyu Zhang ,  Wei-Ying Ma ,  Zheng Chen ,  Hua-Jun Zeng ,  Dou Shen

IPC分类号： G06F17/30

CPC分类号： G06F17/30705 ,  G06F17/30719

摘要： A method and system for calculating the significance of a sentence within a document is provided. The summarization system calculates the significance of the sentences of a document and selects the most significant sentences as the summary of the document. The summarization system calculates the significance of a sentence based on the “important” words of the document that are contained within the sentence. The summarization system calculates the importance of words of the document using various scoring techniques and then combines the scores to classify a word as important or not important. The summarization system can then be used to identify significant sentences of the document based on the important words that a sentence contains and select significant sentences as a summary of the document.

摘要翻译： 提供了一种用于计算文档中句子的重要性的方法和系统。 总结系统计算文档的句子的重要性，并选择最重要的句子作为文档的摘要。 总结系统根据文本中包含的“重要”字来计算句子的意义。 总结系统使用各种评分技术计算文档的单词的重要性，然后将分数组合成一个单词重要或不重要。 然后，总结系统可以用于基于句子包含的重要词语来识别文档的重要句子，并且将重要句子作为文档的摘要来选择。

公开(公告)号：US20060026152A1

公开(公告)日：2006-02-02

申请号：US10889841

申请日：2004-07-13

申请人： Hua-Jun Zeng ,  Qicai He ,  Guimei Liu ,  Zheng Chen ,  Benyu Zhang ,  Wei-Ying Ma

发明人： Hua-Jun Zeng ,  Qicai He ,  Guimei Liu ,  Zheng Chen ,  Benyu Zhang ,  Wei-Ying Ma

IPC分类号： G06F17/30

CPC分类号： G06F17/3071 ,  G06F17/30864 ,  Y10S707/99931

摘要： A clustering architecture that dynamically groups the search result documents into clusters labeled by phrases extracted from the search result snippets. Documents related to the same topic usually share a common vocabulary. The words are first clustered based on their co-occurrences and each cluster forms a potentially interesting topic. Keywords are chosen and then clustered by counting co-occurrences of pairs of keywords. Documents are assigned to relevant topics based on the feature vectors of the clusters.

公开(公告)号：US20050246410A1

公开(公告)日：2005-11-03

申请号：US10836319

申请日：2004-04-30

申请人： Zheng Chen ,  Dou Shen ,  Benyu Zhang ,  Hua-Jun Zeng ,  Wei-Ying Ma

发明人： Zheng Chen ,  Dou Shen ,  Benyu Zhang ,  Hua-Jun Zeng ,  Wei-Ying Ma

IPC分类号： G06F17/30 ,  G06F15/16

CPC分类号： G06F17/30719 ,  G06F17/30864

摘要： A method and system for classifying display pages based on automatically generated summaries of display pages. A web page classification system uses a web page summarization system to generate summaries of web pages. The summary of a web page may include the sentences of the web page that are most closely related to the primary topic of the web page. The summarization system may combine the benefits of multiple summarization techniques to identify the sentences of a web page that represent the primary topic of the web page. Once the summary is generated, the classification system may apply conventional classification techniques to the summary to classify the web page. The classification system may use conventional classification techniques such as a Naïve Bayesian classifier or a support vector machine to identify the classifications of a web page based on the summary generated by the summarization system.

摘要翻译： 一种基于自动生成的显示页面摘要来分类显示页面的方法和系统。 网页分类系统使用网页摘要系统来生成网页摘要。 网页的摘要可以包括与网页的主要主题最密切相关的网页的句子。 总结系统可以结合多个汇总技术的优点来识别代表网页的主要主题的网页的句子。 一旦生成摘要，分类系统可以将常规分类技术应用于摘要以对网页进行分类。 分类系统可以使用诸如朴素贝叶斯分类器或支持向量机的常规分类技术来基于由汇总系统生成的摘要来识别网页的分类。

公开(公告)号：US20050234973A1

公开(公告)日：2005-10-20

申请号：US10826160

申请日：2004-04-15

申请人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Ji-Rong Wen ,  Hang Li ,  Wei-Ying Ma ,  Gabor Hirschler ,  Kurt Samuelson

发明人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Ji-Rong Wen ,  Hang Li ,  Wei-Ying Ma ,  Gabor Hirschler ,  Kurt Samuelson

IPC分类号： G06F19/00 ,  G06F17/30 ,  G06N3/00 ,  G06N5/00 ,  G06N5/02

CPC分类号： G06N5/00 ,  G06N5/02

摘要： Systems and methods for mining service requests for product support are described. In one aspect, unstructured service requests are converted to one or more structured answer objects. Each structured answer object includes hierarchically structured historic problem diagnosis data. In view of a product problem description, a set of the one or more structured answer data objects is identified. Each structured solution data object in the set includes term(s) and/or phrase(s) related to the product problem description. Historic and hierarchically structured problem diagnosis data from the set is provided to an end-user for product problem diagnosis.

摘要翻译： 描述了产品支持挖掘服务请求的系统和方法。 在一个方面，非结构化服务请求被转换成一个或多个结构化答案对象。 每个结构化答案对象包括分层结构的历史问题诊断数据。 鉴于产品问题描述，识别一组一个或多个结构化答案数据对象。 该集合中的每个结构化解决方案数据对象包括与产品问题描述相关的术语和/或短语。 将集合中的历史和分层结构的问题诊断数据提供给最终用户进行产品问题诊断。

公开(公告)号：US20050234953A1

公开(公告)日：2005-10-20

申请号：US10826162

申请日：2004-04-15

申请人： Benyu Zhang ,  Hua-Jun Zeng ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

发明人： Benyu Zhang ,  Hua-Jun Zeng ,  Zheng Chen ,  Wei-Ying Ma ,  Li Li ,  Ying Li ,  Tarek Najm

IPC分类号： G06F19/00 ,  G06F17/30

CPC分类号： G06F17/30687 ,  G06F17/30663 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

摘要： Systems and methods for verifying relevance between terms and Web site contents are described. In one aspect, site contents from a bid URL are retrieved. Expanded term(s) semantically and/or contextually related to bid term(s) are calculated. Content similarity and expanded similarity measurements are calculated from respective combinations of the bid term(s), the site contents, and the expanded terms. Category similarity measurements between the expanded terms and the site contents are determined in view of a trained similarity classifier. The trained similarity classifier having been trained from mined web site content associated with directory data. A confidence value providing an objective measure of relevance between the bid term(s) and the site contents is determined from the content, expanded, and category similarity measurements evaluating the multiple similarity scores in view of a trained relevance classifier model.

摘要翻译： 描述了用于验证术语和网站内容之间的相关性的系统和方法。 一方面，检索出价网址中的网站内容。 计算语法上和/或与投标期相关的扩展术语。 内容相似性和扩展的相似度测量是根据投标条件，站点内容和扩展条款的各自组合计算的。 考虑到经过训练的相似性分类器，确定扩展术语和站点内容之间的类别相似度测量。 经过训练的相似性分类器已经从与目录数据相关联的挖掘的网站内容训练。 考虑到训练有素的相关性分类器模型，从评估多重相似度分数的内容，扩展和类别相似度测度中确定提供投标项和站点内容之间的相关性的客观量度的置信度值。