公开(公告)号：US20060112068A1

公开(公告)日：2006-05-25

申请号：US10997749

申请日：2004-11-23

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

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

IPC分类号： G06F17/30

CPC分类号： G06F17/3069 ,  Y10S707/99934 ,  Y10S707/99935 ,  Y10S707/99936 ,  Y10S707/99937

摘要： A method and system for determining similarity between items is provided. To calculate similarity scores for pairs of items, the similarity system initializes a similarity score for each pair of objects and each pair of features. The similarity system then iteratively calculates the similarity scores for each pair of objects based on the similar scores of the pairs of features calculated during a previous iteration and calculates the similarity scores for each pair of features based on the similarity scores of the pairs of objects calculated during a previous iteration. The similarity system implements an algorithm that is based on a recursive definition of the similarities between objects and between features. The similarity system continues the iterations of recalculating the similarity scores until the similarity scores converge on a solution.

公开(公告)号：US20060095430A1

公开(公告)日：2006-05-04

申请号：US10978232

申请日：2004-10-29

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

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

IPC分类号： G06F17/30

CPC分类号： G06F17/30864

摘要： The described systems, methods and data structures are directed to ranking Web pages with hierarchical considerations. The hierarchical structures and the linking relationships of the World Wide Web are used to provide a page importance ranking for Web searches. The linking relationships are aggregated to a high level node at each of the hierarchical structures. A link graph analysis is performed on the aggregated linking relationships to determine the importance of each node. The importance of each node may be propagated to pages associated with that node. For each page, the importance of that page and the importance of the node associated with the page are used to calculate the page importance ranking.

摘要翻译： 所描述的系统，方法和数据结构针对分级考虑对网页排序。 万维网的层次结构和链接关系用于为Web搜索提供页面重要性排名。 链接关系在每个分层结构中聚合到高级节点。 对聚合的链接关系执行链接图分析，以确定每个节点的重要性。 每个节点的重要性可以传播到与该节点相关联的页面。 对于每个页面，使用该页面的重要性和与页面相关联的节点的重要性来计算页面重要性排名。

公开(公告)号：US20060005247A1

公开(公告)日：2006-01-05

申请号：US10881867

申请日：2004-06-30

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： H04L9/00

CPC分类号： G06F17/30616 ,  G06F17/30628 ,  G06F17/30678 ,  G06F21/6245 ,  H04L51/12 ,  Y10S707/99933

摘要： A method and system for detecting whether an outgoing communication contains confidential information or other target information is provided. The detection system is provided with a collection of documents that contain confidential information, referred to as “confidential documents.” When the detection system is provided with an outgoing communication, it compares the content of the outgoing communication to the content of the confidential documents. If the outgoing communication contains confidential information, then the detection system may prevent the outgoing communication from being sent outside the organization. The detection system detects confidential information based on the similarity between the content of an outgoing communication and the content of confidential documents that are known to contain confidential information.

公开(公告)号：US20050256832A1

公开(公告)日：2005-11-17

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

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

IPC分类号： G06F17/30 ,  G06F7/00

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：US20050234880A1

公开(公告)日：2005-10-20

申请号：US10826168

申请日：2004-04-15

申请人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Wei-Ying Ma ,  Hsiao-Wuen Hon ,  Daniel Cook ,  Gabor Hirschler ,  Karen Fries ,  Kurt Samuelson

发明人： Hua-Jun Zeng ,  Benyu Zhang ,  Zheng Chen ,  Wei-Ying Ma ,  Hsiao-Wuen Hon ,  Daniel Cook ,  Gabor Hirschler ,  Karen Fries ,  Kurt Samuelson

IPC分类号： G06F17/30

CPC分类号： G06F17/30864 ,  G06F17/30616 ,  G06F17/30899 ,  Y10S707/917 ,  Y10S707/99932 ,  Y10S707/99933 ,  Y10S707/99935

摘要： Systems and methods for enhanced document retrieval are described. In one aspect, a search query from an end-user is received. Responsive to receiving the search query, search results are retrieved. The search results include an enhanced document and a set of non-enhanced documents. The enhanced document and the non-enhanced documents include term(s) of the search query. The enhanced document is derived from a base document. The base document was modified with metadata mined from one or more different documents. The metadata is associated with one or more respective references to the base document. The one or more different documents are independent of the base document.

摘要翻译： 描述用于增强文档检索的系统和方法。 在一个方面，接收来自最终用户的搜索查询。 响应于接收搜索查询，搜索结果被检索。 搜索结果包括增强文档和一组非增强文档。 增强文档和非增强文档包括搜索查询的术语。 增强的文档是从基础文档派生的。 使用从一个或多个不同文档挖掘的元数据对基本文档进行了修改。 元数据与对基本文档的一个或多个相应的引用相关联。 一个或多个不同的文档独立于基本文档。

公开(公告)号：US20080103886A1

公开(公告)日：2008-05-01

申请号：US11553897

申请日：2006-10-27

申请人： Hua Li ,  Zheng Chen ,  Benyu Zhang ,  Hua-Jun Zeng ,  Jian Wang

发明人： Hua Li ,  Zheng Chen ,  Benyu Zhang ,  Hua-Jun Zeng ,  Jian Wang

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06Q30/0275 ,  G06Q30/0277

摘要： A method and system for generating and using a combined model to identify whether a bid term is relevant to an advertisement is provided. A relevance system trains a combined model that includes an initial model and a decision tree model that are trained using features that represent relationships between bid terms and advertisements. The relevance system trains the initial model to map initial model features to a modeled relevance. The relevance system trains the decision tree model to map the decision tree features and the modeled relevance to a final relevance. The trained initial model and decision tree model represent the combined model. The relevance system then uses the combined model to determine the relevance of bid terms to advertisements.

摘要翻译： 提供了一种用于生成和使用组合模型以识别出价项是否与广告相关的方法和系统。 相关系统训练包括初始模型和决策树模型的组合模型，该模型使用表示投标条款和广告之间关系的特征来训练。 相关系统训练初始模型以将初始模型特征映射到建模相关性。 相关系统训练决策树模型，将决策树特征和建模相关性映射到最终相关性。 训练初始模型和决策树模型代表组合模型。 相关系统然后使用组合模型来确定投标条款与广告的相关性。

公开(公告)号：US07584181B2

公开(公告)日：2009-09-01

申请号：US10676794

申请日：2003-09-30

申请人： Hua-Jun Zeng ,  Gui-Rong Xue ,  Zheng Chen ,  Wei-Ying Ma

发明人： Hua-Jun Zeng ,  Gui-Rong Xue ,  Zheng Chen ,  Wei-Ying Ma

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30867 ,  Y10S707/99935 ,  Y10S707/99937

摘要： An implicit links enhancement system and method for search engines that generates implicit links obtained from mining user access logs to facilitate enhanced local searching of web sites and intranets. The implicit links search enhancement system and method includes extracting implicit links by mining users' access patterns and then using a modified link analysis algorithm to re-rank search results obtained from traditional search engines. More specifically, the implicit links search enhancement method includes extracting implicit links from a user access log, generating an implicit links graph from the extracted implicit links, and computing page rankings using the implicit links graph. The implicit links are extracted from the log using a two-item sequential pattern mining technique. Search results obtained from a search engine are re-ranked based on an implicit links analysis performed using an updated implicit links graph, a modified re-ranking formula, and at least one re-ranking technique.

摘要翻译： 一种用于搜索引擎的隐式链接增强系统和方法，用于生成从挖掘用户访问日志中获取的隐含链接，以促进对网站和内部网的增强的本地搜索。 隐式链接搜索增强系统和方法包括通过挖掘用户访问模式提取隐含链接，然后使用修改的链接分析算法对从传统搜索引擎获取的搜索结果进行重新排序。 更具体地，隐式链接搜索增强方法包括从用户访问日志提取隐含链接，从提取的隐式链接生成隐式链接图，以及使用隐式链接图计算页面排名。 使用两项顺序模式挖掘技术从日志中提取隐式链接。 基于使用更新的隐式链接图，修改的重新排列公式和至少一个重新排序技术执行的隐式链接分析，从搜索引擎获得的搜索结果被重新排序。

公开(公告)号：US20050071465A1

公开(公告)日：2005-03-31

申请号：US10676794

申请日：2003-09-30

申请人： Hua-Jun Zeng ,  Gui-Rong Xue ,  Zheng Chen ,  Wei-Ying Ma

发明人： Hua-Jun Zeng ,  Gui-Rong Xue ,  Zheng Chen ,  Wei-Ying Ma

IPC分类号： G06F15/173 ,  G06F17/30

CPC分类号： G06F17/30867 ,  Y10S707/99935 ,  Y10S707/99937

摘要： An implicit links enhancement system and method for search engines that generates implicit links obtained from mining user access logs to facilitate enhanced local searching of web sites and intranets. The implicit links search enhancement system and method includes extracting implicit links by mining users' access patterns and then using a modified link analysis algorithm to re-rank search results obtained from traditional search engines. More specifically, the implicit links search enhancement method includes extracting implicit links from a user access log, generating an implicit links graph from the extracted implicit links, and computing page rankings using the implicit links graph. The implicit links are extracted from the log using a two-item sequential pattern mining technique. Search results obtained from a search engine are re-ranked based on an implicit links analysis performed using an updated implicit links graph, a modified re-ranking formula, and at least one re-ranking technique.

摘要翻译： 一种用于搜索引擎的隐式链接增强系统和方法，用于生成从挖掘用户访问日志中获取的隐含链接，以促进对网站和内部网的增强的本地搜索。 隐式链接搜索增强系统和方法包括通过挖掘用户访问模式提取隐含链接，然后使用修改的链接分析算法对从传统搜索引擎获取的搜索结果进行重新排序。 更具体地，隐式链接搜索增强方法包括从用户访问日志提取隐含链接，从提取的隐式链接生成隐式链接图，以及使用隐式链接图计算页面排名。 使用两项顺序模式挖掘技术从日志中提取隐式链接。 基于使用更新的隐式链接图，修改的重新排列公式和至少一个重新排序技术执行的隐式链接分析，从搜索引擎获得的搜索结果被重新排序。

公开(公告)号：US20050256833A1

公开(公告)日：2005-11-17

申请号：US10846949

申请日：2004-05-14

申请人： Hua-Jun Zeng ,  Gui-Rong Xue ,  Zheng Chen ,  Benya Zhang ,  Wei-Ying Ma

发明人： Hua-Jun Zeng ,  Gui-Rong Xue ,  Zheng Chen ,  Benya Zhang ,  Wei-Ying Ma

IPC分类号： G06F17/30 ,  G06F7/00

CPC分类号： G06F17/30864 ,  G06F17/30882 ,  Y10S707/99931 ,  Y10S707/99932 ,  Y10S707/99933

摘要： A method and system for measuring the similarity of objects based on relationships with objects of the same type and different types and similarities of those objects to other objects is provided. In one embodiment, the similarity system defines intra-type and inter-type similarity functions for each type of object. The similarity system may combine the intra-type and inter-type similarity functions for a certain type into an overall similarity function for that type. After defining the similarity functions, the similarity system collects attribute values for the objects, which may include relationship data between objects of the same type, referred to as intra-type relationships, and relationships between objects of different types, referred to as inter-type relationships. After collecting the attribute values for the objects, the similarity system solves the intra-type and inter-type similarity functions by iteratively calculating the similarities for the objects until the similarities converge on a solution.

摘要翻译： 提供了一种用于基于与这些对象的相同类型和不同类型的对象与其他对象的相似性的关系的对象来测量对象的相似性的方法和系统。 在一个实施例中，相似系统定义每种类型的对象的类型内和类型间相似度函数。 相似系统可以将某种类型的类型内和类型间相似度函数组合成该类型的整体相似度函数。 在定义相似度函数之后，相似度系统收集对象的属性值，其可以包括相同类型的对象之间的关系数据，称为内部类型关系，以及不同类型的对象之间的关系，被称为相互类型 关系。 在收集对象的属性值之后，相似系统通过迭代地计算对象的相似度来解决类型内和类型间相似度函数，直到相似性收敛于解。

公开(公告)号：US08312035B2

公开(公告)日：2012-11-13

申请号：US12505426

申请日：2009-07-17

申请人： Hua-Jun Zeng ,  Gui-Rong Xue ,  Zheng Chen ,  Wei-Ying Ma

发明人： Hua-Jun Zeng ,  Gui-Rong Xue ,  Zheng Chen ,  Wei-Ying Ma

IPC分类号： G06F7/00 ,  G06F17/30

CPC分类号： G06F17/30867 ,  Y10S707/99935 ,  Y10S707/99937

摘要： An implicit links enhancement system and method for search engines that generates implicit links obtained from mining user access logs to facilitate enhanced local searching of web sites and intranets. Embodiments of the implicit links search enhancement system and method includes extracting implicit links by mining users' access patterns and then using a modified link analysis algorithm to re-rank search results obtained from traditional search engines. More specifically, embodiments of the method include extracting implicit links from a user access log, generating an implicit links graph from the extracted implicit links, and computing page rankings using the implicit links graph. The implicit links are extracted from the log using a two-item sequential pattern mining technique. Search results obtained from a search engine are re-ranked based on an implicit links analysis performed using an updated implicit links graph, a modified re-ranking formula, and at least one re-ranking technique.

摘要翻译： 一种用于搜索引擎的隐式链接增强系统和方法，用于生成从挖掘用户访问日志中获取的隐含链接，以促进对网站和内部网的增强的本地搜索。 隐式链接搜索增强系统和方法的实施例包括通过挖掘用户的访问模式来提取隐含链接，然后使用经修改的链接分析算法重新排列从传统搜索引擎获得的搜索结果。 更具体地，该方法的实施例包括从用户访问日志提取隐含链接，从提取的隐式链接生成隐式链接图，以及使用隐式链接图计算页面排名。 使用两项顺序模式挖掘技术从日志中提取隐式链接。 基于使用更新的隐式链接图，修改的重新排列公式和至少一个重新排序技术执行的隐式链接分析，从搜索引擎获得的搜索结果被重新排序。