公开(公告)号：US20070192164A1

公开(公告)日：2007-08-16

申请号：US11355634

申请日：2006-02-15

申请人： Shuzhen Nong ,  Ying Li ,  Tarek Najm ,  Li Li ,  Zheng Chen ,  Hua-Jun Zeng ,  Benyu Zhang ,  Yin Li ,  Dean Carignan ,  Ying-Qing Xu

发明人： Shuzhen Nong ,  Ying Li ,  Tarek Najm ,  Li Li ,  Zheng Chen ,  Hua-Jun Zeng ,  Benyu Zhang ,  Yin Li ,  Dean Carignan ,  Ying-Qing Xu

IPC分类号： G07G1/00 ,  H04N7/10

CPC分类号： G06Q30/02

摘要： According to embodiments of the invention, an advertisement-generation system generates image-containing advertisements. The advertisement-generation system includes: at least one feature-selection guideline that specifies at least one recommended feature for image-containing advertisements based on advertiser inputs that specify at least one of advertisement-target-audience information, cost information, and advertiser-industry information; an image-clip library from which images are selected for inclusion in the image-containing advertisements; and at least one advertisement template that is based on the at least one feature-selection guideline; wherein the system automatically generates image-containing advertisements that contain one or more suggested colors that are automatically suggested based on one or more colors present on a web page that will host the image-containing advertisement.

摘要翻译： 根据本发明的实施例，广告生成系统生成包含图像的广告。 广告生成系统包括：至少一个特征选择指南，其基于广告商输入指定至少一个推荐的用于图像的广告的特征，其指定广告目标受众信息，成本信息和广告商行业中的至少一个 信息; 选择图像以包含在包含图像的广告中的图像剪辑库; 以及至少一个基于所述至少一个特征选择指南的广告模板; 其中所述系统自动生成包含一个或多个建议的颜色的图像包含广告，所述一个或多个建议的颜色是基于存在于将承载含图像的广告的网页上的一种或多种颜色而自动建议的。

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：US09195942B2

公开(公告)日：2015-11-24

申请号：US12406039

申请日：2009-03-17

申请人： Benyu Zhang ,  Wei-Ying Ma ,  Gu Xu ,  Hongbin Gao ,  Zheng Chen ,  Randy Hinrichs ,  Hua-Jun Zeng

发明人： Benyu Zhang ,  Wei-Ying Ma ,  Gu Xu ,  Hongbin Gao ,  Zheng Chen ,  Randy Hinrichs ,  Hua-Jun Zeng

IPC分类号： G06F17/30 ,  G06N5/02

CPC分类号： G06N5/022 ,  G06F17/30616 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

摘要： A method and system for identifying information about people is provided. The information system identifies groups of people that have relationships based on their relationships to documents or more generally to objects. The information system initially is provided with an indication of which people have which relationships to which documents. The information system then identifies clusters of people based on having a relationship to the same objects. The information system may also identify clusters of related objects associated with a cluster of people. When a user wants to identify information about a person, the user can provide the name of that person to the information system. The information system then can retrieve and display the names of the other people who are in the same cluster as the person.

公开(公告)号：US08112268B2

公开(公告)日：2012-02-07

申请号：US12254796

申请日：2008-10-20

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

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

IPC分类号： G06F17/28

CPC分类号： G06F17/30

摘要： A method and system for prioritizing communications based on classifications of sentences within the communications is provided. A sentence classification system may classify sentences of communications according to various classifications such as “sentence mode.” The sentence classification system trains a sentence classifier using training data and then classifies sentences using the trained sentence classifier. After the sentences of a communication are classified, a document ranking system may generate a rank for the communication based on the classifications of the sentences within the communication. The document ranking system trains a document rank classifier using training data and then calculates the rank of communications using the trained document rank classifier.

摘要翻译： 提供了一种基于通信内的句子分类来优先化通信的方法和系统。 句子分类系统可以根据诸如“句子模式”的各种分类对通信句进行分类。句子分类系统使用训练数据训练句子分类器，然后使用训练句子分类器对句子进行分类。 在对通信的句子进行分类之后，文档排序系统可以基于通信中的句子的分类来生成用于通信的等级。 文档排序系统使用训练数据训练文档排序分类器，然后使用经过训练的文档排序分类器来计算通信的等级。

公开(公告)号：US07788131B2

公开(公告)日：2010-08-31

申请号：US11300918

申请日：2005-12-15

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

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

IPC分类号： G06Q30/00

CPC分类号： G06Q30/02 ,  G06F17/30864 ,  G06Q30/0251 ,  G06Q30/0275

摘要： Seed keywords are leveraged to provide expanded keywords that are then associated with relevant advertisers. Instances can also include locating potential advertisers based on the expanded keywords. Inverse lookup techniques are employed to determine which keywords are associated with an advertiser. Filtering can then be employed to eliminate inappropriate keywords for that advertiser. The keywords are then automatically revealed to the advertiser for consideration as relevant search terms for their advertisements. In this manner, revenue for a search engine and/or for an advertiser can be substantially enhanced through the automatic expansion of relevant search terms. Advertisers also benefit by having larger and more relevant search term selections automatically available to them, saving them both time and money.

摘要翻译： 使用种子关键字来提供扩展的关键字，然后与相关的广告商相关联。 实例还可以包括根据扩展的关键字定位潜在的广告客户。 采用反向查找技术来确定哪些关键字与广告商相关联。 然后可以使用过滤来消除该广告客户的不合适的关键字。 然后，这些关键字会自动向广告客户显示，作为其广告的相关搜索字词。 以这种方式，可以通过自动扩展相关搜索词来大大增强搜索引擎和/或广告商的收入。 广告商也可以通过自动获得更大更多相关的搜索词选项来获益，从而节省时间和金钱。

公开(公告)号：US07664735B2

公开(公告)日：2010-02-16

申请号：US10837540

申请日：2004-04-30

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： G06F17/00

CPC分类号： G06F17/30867 ,  Y10S707/99933

摘要： A method and system for ranking documents of search results based on information richness and diversity of topics. A ranking system determines the information richness of each document within a search result. The ranking system groups documents of a search result based on their relatedness, meaning that they are directed to similar topics. The ranking system ranks the documents to ensure that the highest ranking documents may include at least one document covering each topic, that is, one document from each of the groups. The ranking system selects the document from each group that has the highest information richness of the documents within the group. When the documents are presented to a user in rank order, the user will likely find on the first page of the search result documents that cover a variety of topics, rather than just a single popular topic.

摘要翻译： 基于信息丰富性和主题多样性对搜索结果文档进行排序的方法和系统。 排名系统确定搜索结果内每个文档的信息丰富度。 排名系统根据其相关性对搜索结果的文档进行分组，这意味着它们针对类似的主题。 排名系统排列文件，以确保最高排名的文档可能包含至少一个涵盖每个主题的文档，即每个组中的一个文档。 排名系统选择组内文件信息丰富度最高的组中的文档。 当文件以等级顺序呈现给用户时，用户可能会在搜索结果文档的第一页上找到涵盖各种主题的文档，而不仅仅是一个流行的主题。

公开(公告)号：US20090313706A1

公开(公告)日：2009-12-17

申请号：US12510186

申请日：2009-07-27

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 ,  G06F11/00 ,  G06F12/14 ,  G06F12/16 ,  G06F7/04 ,  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：US07617176B2

公开(公告)日：2009-11-10

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： G06F7/00

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.

摘要翻译： 将搜索结果文档动态地分组到由从搜索结果片段中提取的短语标签的聚类体系结构。 与同一主题相关的文件通常共享一个共同的词汇。 这些单词首先基于它们的共同出现而聚集，并且每个集合形成潜在有趣的主题。 选择关键词，然后通过计算关键字对的共同出现来聚类。 基于集群的特征向量将文档分配给相关主题。

公开(公告)号：US20090228452A1

公开(公告)日：2009-09-10

申请号：US12406039

申请日：2009-03-17

申请人： Benyu Zhang ,  Wei-Ying Ma ,  Gu Xu ,  Hongbin Gao ,  Zheng Chen ,  Randy Hinrichs ,  Hua-Jun Zeng

发明人： Benyu Zhang ,  Wei-Ying Ma ,  Gu Xu ,  Hongbin Gao ,  Zheng Chen ,  Randy Hinrichs ,  Hua-Jun Zeng

IPC分类号： G06F17/30

CPC分类号： G06N5/022 ,  G06F17/30616 ,  Y10S707/99933 ,  Y10S707/99934 ,  Y10S707/99935

摘要： A method and system for identifying information about people is provided. The information system identifies groups of people that have relationships based on their relationships to documents or more generally to objects. The information system initially is provided with an indication of which people have which relationships to which documents. The information system then identifies clusters of people based on having a relationship to the same objects. The information system may also identify clusters of related objects associated with a cluster of people. When a user wants to identify information about a person, the user can provide the name of that person to the information system. The information system then can retrieve and display the names of the other people who are in the same cluster as the person.

摘要翻译： 提供了一种用于识别人的信息的方法和系统。 信息系统根据与文档的关系或更一般地与对象的关系来识别具有关系的人群。 信息系统最初被提供指示哪些人与哪些文档有哪些关系。 然后，信息系统基于与相同对象的关系来识别人群。 信息系统还可以识别与一群人相关联的相关对象的群集。 当用户想要识别关于人的信息时，用户可以向该信息系统提供该人的姓名。 然后，信息系统可以检索和显示与该人在同一集群中的其他人的姓名。