公开(公告)号：US20060204081A1

公开(公告)日：2006-09-14

申请号：US11070382

申请日：2005-03-01

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

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

IPC分类号： G06K9/62 ,  G06K9/46

CPC分类号： G06K9/6234

摘要： A method and system for generating a projection matrix for projecting data from a high dimensional space to a low dimensional space. The system establishes an objective function based on a maximum margin criterion matrix. The system then provides data samples that are in the high dimensional space and have a class. For each data sample, the system incrementally derives leading eigenvectors of the maximum margin criterion matrix based on the derivation of the leading eigenvectors of the last data sample. The derived eigenvectors compose the projection matrix, which can be used to project data samples in a high dimensional space into a low dimensional space.

公开(公告)号：US20060004809A1

公开(公告)日：2006-01-05

申请号：US10881812

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： G06F17/00

CPC分类号： G06F17/30882 ,  G06F17/30728 ,  G06F17/30864

摘要： A system for calculating the importance of web pages is provided. The web pages are organized hierarchically into collections. The system calculates the importance of each collection based on inter-collection links from a web page in one collection to a web page in another collection. The system then calculates the importance of web pages in the collections with a high calculated importance based on links between the web pages in those collections using, for example, a conventional page rank algorithm. The system may also calculate the importance of web pages in each collection with a low calculated importance separately based on the links between the web pages in the collection using, for example, a conventional page rank algorithm.

摘要翻译： 提供了一种用于计算网页重要性的系统。 网页分层组织成集合。 系统基于从一个集合中的网页到另一个集合中的网页的集合间链接来计算每个集合的重要性。 然后，该系统使用例如常规页面排序算法，基于这些集合中的网页之间的链接来计算具有高计算重要性的集合中的网页的重要性。 该系统还可以基于使用例如常规页面排序算法的集合中的网页之间的链接来分别计算具有低计算重要性的每个集合中的网页的重要性。

公开(公告)号：US20060004561A1

公开(公告)日：2006-01-05

申请号：US10880662

申请日：2004-06-30

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

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

IPC分类号： G06F17/28

CPC分类号： G06F17/3071 ,  Y10S707/99931 ,  Y10S707/99933

摘要： A method and system for clustering documents based on generalized sentence patterns of the topics of the documents is provided. A generalized sentence patterns (“GSP”) system identifies a “sentence” that describes the topic of a document. To cluster documents, the GSP system generates a “generalized sentence” form of the sentence that describes the topic of each document. The generalized sentence is an abstraction of the words of the sentence. The GSP system identifies clusters of documents based on the patterns of their generalized sentences. The GSP system clusters documents when the generalized sentence representations of their topics have a similar pattern.

公开(公告)号：US07849089B2

公开(公告)日：2010-12-07

申请号：US12616739

申请日：2009-11-11

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

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

IPC分类号： G06F7/00 ,  G10L15/00

CPC分类号： G06F17/30882 ,  G06F17/30867 ,  Y10S707/99935

摘要： A method and system for adapting search results of a query to the information needs of the user submitting the query is provided. A search system analyzes click-through triplets indicating that a user submitted a query and that the user selected a document from the results of the query. To overcome the large size and sparseness of the click-through data, the search system when presented with an input triplet comprising a user, a query, and a document determines a probability that the user will find the input document important by smoothing the click-through triplets. The search system then orders documents of the result based on the probability of their importance to the input user.

摘要翻译： 提供了一种用于将查询的搜索结果适应于提交查询的用户的信息需求的方法和系统。 搜索系统分析点击三胞胎，指示用户提交了查询，并且用户从查询的结果中选择了文档。 为了克服点击数据的大尺寸和稀疏性，当呈现包括用户，查询和文档的输入三元组时，搜索系统确定用户将通过平滑点击数据来重新找到输入文档的概率， 通过三胞胎。 然后，搜索系统基于其对输入用户的重要性的概率来订购结果的文档。

公开(公告)号：US20100057798A1

公开(公告)日：2010-03-04

申请号：US12616739

申请日：2009-11-11

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

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

IPC分类号： G06F17/30

CPC分类号： G06F17/30882 ,  G06F17/30867 ,  Y10S707/99935

摘要： A method and system for adapting search results of a query to the information needs of the user submitting the query is provided. A search system analyzes click-through triplets indicating that a user submitted a query and that the user selected a document from the results of the query. To overcome the large size and sparseness of the click-through data, the search system when presented with an input triplet comprising a user, a query, and a document determines a probability that the user will find the input document important by smoothing the click-through triplets. The search system then orders documents of the result based on the probability of their importance to the input user.

摘要翻译： 提供了一种用于将查询的搜索结果适应于提交查询的用户的信息需求的方法和系统。 搜索系统分析点击三胞胎，指示用户提交了查询，并且用户从查询的结果中选择了文档。 为了克服点击数据的大尺寸和稀疏性，搜索系统当呈现包括用户，查询和文档的输入三元组时，确定用户将通过平滑点击数据来重新找到输入文档的概率， 通过三胞胎。 然后，搜索系统基于其对输入用户的重要性的概率来订购结果的文档。

公开(公告)号：US07594277B2

公开(公告)日：2009-09-22

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： G06F11/00 ,  G06F12/14 ,  G06F12/16 ,  G06F7/04 ,  G06F17/30 ,  G06F21/00 ,  G06F7/00 ,  G08B23/00 ,  H04N7/16

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.

摘要翻译： 提供一种用于检测输出通信是否包含机密信息或其他目标信息的方法和系统。 检测系统提供了一系列包含机密信息的文件，称为“机密文件”。 当向检测系统提供传出通信时，将传出通信的内容与机密文档的内容进行比较。 如果传出通信包含机密信息，则检测系统可以防止传出通信被发送到组织外部。 检测系统基于传出通信的内容与已知包含机密信息的机密文档的内容之间的相似性来检测机密信息。

公开(公告)号：US07590603B2

公开(公告)日：2009-09-15

申请号：US10957329

申请日：2004-10-01

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

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

IPC分类号： G06F15/18

CPC分类号： G06F17/30707

摘要： A method and system for classifying messages of a discussion thread as questions is provided. A classification system generates a classifier to classify messages of discussion threads as question messages or non-question messages. The system trains the classifier using the feature vectors and input classifications derived from a training set of discussion threads. After the classifier is trained, the classification system uses the classifier to classify messages within a corpus of discussion threads as question or non-question messages. To classify a message, the classification system generates a feature vector for the messages and submits that feature vector to the classifier. The classifier generates a score for the message indicating a likelihood that the message is a question message.

摘要翻译： 提供了一种用于将讨论线程的消息分类为问题的方法和系统。 分类系统生成分类器以将讨论线程的消息分类为问题消息或非问题消息。 系统使用从训练集讨论线程派生的特征向量和输入分类来训练分类器。 在分类器训练之后，分类系统使用分类器将讨论线程的语料库中的消息分类为问题或非问题消息。 为了对消息进行分类，分类系统生成消息的特征向量，并将该特征向量提交给分类器。 分类器生成消息的分数，指示消息是问题消息的可能性。

公开(公告)号：US20050234955A1

公开(公告)日：2005-10-20

申请号：US10921477

申请日：2004-08-16

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

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

IPC分类号： G06F17/30

CPC分类号： G06F17/3071

摘要： Systems and methods for clustering-based text classification are described. In one aspect text is clustered as a function of labeled data to generate cluster(s). The text includes the labeled data and unlabeled data. Expanded labeled data is then generated as a function of the cluster(s). The expanded label data includes the labeled data and at least a portion of unlabeled data. Discriminative classifier(s) are then trained based on the expanded labeled data and remaining ones of the unlabeled data.

摘要翻译： 描述了基于聚类的文本分类的系统和方法。 在一个方面，文本被聚类为标记数据的函数以生成集群。 该文本包括标记数据和未标记数据。 然后根据集群生成扩展标签数据。 扩展的标签数据包括标记的数据和至少一部分未标记的数据。 然后基于扩展的标记数据和剩余的未标记数据来训练鉴别分类器。

公开(公告)号：US20050234952A1

公开(公告)日：2005-10-20

申请号：US10826161

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： G06F19/00 ,  G06F17/30

CPC分类号： G06F17/30631 ,  G06F17/30722 ,  G06F17/30864 ,  Y10S707/99935 ,  Y10S707/99942

摘要： Systems and methods providing computer-implemented content propagation for enhanced document retrieval are described. In one aspect, reference information directed to one or more documents is identified. The reference information is identified from one or more sources of data that are independent of a data source that includes the one or more documents. Metadata that is proximally located to the reference information is extracted from the one or more sources of data. Relevance between respective features of the metadata to content of associated ones of the one or more documents is calculated. For each document of the one or more documents, associated portions of the metadata is indexed with the relevance of features from the respective portions into original content of the document. The indexing generates one or more enhanced documents.

摘要翻译： 描述了提供用于增强文档检索的计算机实现的内容传播的系统和方法。 在一个方面，指定针对一个或多个文档的参考信息。 参考信息从一个或多个独立于包括一个或多个文档的数据源的数据来源识别。 从一个或多个数据来源提取近端位于参考信息的元数据。 计算元数据的各个特征与一个或多个文档中相关联的内容的相关性。 对于一个或多个文档的每个文档，将元数据的关联部分与来自相应部分的特征与文档的原始内容的相关性进行索引。 索引生成一个或多个增强文档。

公开(公告)号：US07747618B2

公开(公告)日：2010-06-29

申请号：US11222243

申请日：2005-09-08

申请人： Hua-Jun Zeng ,  Jian-Tao Sun ,  Wei-Ying Ma ,  Zheng Chen ,  Benyu Zhang ,  Huan Liu

发明人： Hua-Jun Zeng ,  Jian-Tao Sun ,  Wei-Ying Ma ,  Zheng Chen ,  Benyu Zhang ,  Huan Liu

IPC分类号： G06F7/00

CPC分类号： G06F17/30675 ,  G06F17/30864

摘要： A system for augmenting click-through data with latent information present in the click-through data for use in generating search results that are better tailored to the information needs of a user submitting a query is provided. The augmentation system creates a three-dimensional matrix with the dimensions of users, queries, and documents. The augmentation system then performs a three-order singular value decomposition of the three-dimensional matrix to generate a three-dimensional core singular value matrix and a left singular matrix for each dimension. The augmentation system finally multiplies the three-dimensional core singular value matrix by the left singular matrices to generate an augmented three-dimensional matrix that explicitly contains the information that was latent in the un-augmented three-dimensional matrix.

摘要翻译： 提供了一种用于通过存在于点击数据中的潜在信息来增强点击数据的系统，用于生成针对提交查询的用户的信息需求更好地定制的搜索结果。 增强系统创建一个具有用户，查询和文档尺寸的三维矩阵。 然后，增强系统执行三维矩阵的三阶奇异值分解，以产生每个维度的三维核心奇异值矩阵和左奇异矩阵。 增强系统最终将三维核心奇异值矩阵乘以左奇异矩阵，以生成明确包含未增强三维矩阵中潜在信息的增强三维矩阵。