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41. 发明申请

US20080288481A1 Ranking online advertisement using product and seller reputation 审中-公开
标题翻译：使用产品和卖家信誉排名在线广告
公开(公告)号：US20080288481A1
公开(公告)日：2008-11-20
申请号：US11803462
申请日：2007-05-15
申请人： Huajun Zeng , Chenxi Lin , Dingyi Han , Benyu Zhang , Zheng Chen , Jian Wang
发明人： Huajun Zeng , Chenxi Lin , Dingyi Han , Benyu Zhang , Zheng Chen , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06Q30/02
摘要： Described is a technology by which online advertisements for returning with a query response are ranked according to reputation. The reputation may correspond to a product or service and/or seller reputation. In one example, a set of relevant advertisement items are located and ranked using reputation data as a factor. For example, for each item, a ranking value is based on a mathematical combination of a product reputation score, a seller reputation score and a relevance score, with the items ranked by their computed values. The scores may be weighted differently. The reputation data may be mined from a review source, such as customer reviews available on the web. In one example implementation, a 3-gram model that considers terms in the review along with the two terms proceeding each term is used to analyze the reviews to determine whether each review is positive or negative with respect to the reputation.
摘要翻译：描述了一种技术，通过这种技术，根据信誉对用于返回查询响应的在线广告进行排名。声誉可能对应于产品或服务和/或卖方声誉。在一个示例中，使用信誉数据作为因素来定位和排列一组相关广告项目。例如，对于每个项目，排序值基于产品信誉评分，卖方信誉评分和相关性分数的数学组合，其中项目按其计算值排列。得分的加权方式可能不同。信誉数据可以从审查来源开采，例如网络上可用的客户评价。在一个示例实施中，使用考虑审查中的术语的3克模型以及每个术语进行的两个术语进行分析，以确定每个评论对于声誉是否为正或负。

42. 发明申请

US20070239792A1 System and method for exploring a semantic file network 失效
标题翻译：用于探索语义文件网络的系统和方法
公开(公告)号：US20070239792A1
公开(公告)日：2007-10-11
申请号：US11392640
申请日：2006-03-30
申请人： Zheng Chen , Lei Li , Chenxi Lin , Qiaoling Liu , Jian Wang , Benyu Zhang
发明人： Zheng Chen , Lei Li , Chenxi Lin , Qiaoling Liu , Jian Wang , Benyu Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30616 , Y10S707/99936 , Y10S707/99953 , Y10S707/99954
摘要： Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.
摘要翻译：语义信息的提取和语义属性的产生可以改善数据的组织和管理。自动生成语义属性，无需手动输入属性信息。还可以基于基于语义属性信息的文件之间的相似性来构建语义文件网络。表示语义关系的语义链接可以在相似或相关文件之间建立。此外，在构建文件网络时也可以考虑用户操作和用户操作模式。语义属性和信息可以进一步促进文件系统的浏览以及提高查询的准确性和速度。

43. 发明申请

US20070239712A1 Adaptive grouping in a file network 有权
标题翻译：文件网络中的自适应分组
公开(公告)号：US20070239712A1
公开(公告)日：2007-10-11
申请号：US11392760
申请日：2006-03-30
申请人： Zheng Chen , Lei Li , Chenxi Lin , Qiaoling Liu , Jian Wang , Benyu Zhang
发明人： Zheng Chen , Lei Li , Chenxi Lin , Qiaoling Liu , Jian Wang , Benyu Zhang
IPC分类号： G06F17/30
CPC分类号： G06F17/30112 , G06F17/3012 , Y10S707/99933 , Y10S707/99934 , Y10S707/99935 , Y10S707/99936 , Y10S707/99937 , Y10S707/99938
摘要： Extraction of semantic information and the generation of semantic attributes allows for improved organization and management of data. Semantic attributes are automatically generated and eliminate the need for manual entry of attribute information. A semantic file network may further be constructed based on similarities between files that are based on the semantic attribute information. Semantic links representing a semantic relationship may be built between similar or relevant files. In addition, user operations and user operation patterns may also be considered in building the file network. Semantic attributes and information may further facilitate browsing the file systems as well as improve the accuracy and speed of queries.
摘要翻译：语义信息的提取和语义属性的产生可以改善数据的组织和管理。自动生成语义属性，无需手动输入属性信息。还可以基于基于语义属性信息的文件之间的相似性来构建语义文件网络。表示语义关系的语义链接可以在相似或相关文件之间建立。此外，在构建文件网络时也可以考虑用户操作和用户操作模式。语义属性和信息可以进一步促进文件系统的浏览以及提高查询的准确性和速度。

44. 发明授权

US09195942B2 Method and system for mining information based on relationships 有权
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.

45. 发明授权

US08112268B2 Method and system for prioritizing communications based on sentence classifications 有权
标题翻译：基于句子分类优先通信的方法和系统
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。

46. 发明授权

US07788131B2 Advertising keyword cross-selling 有权
标题翻译：广告关键字交叉销售
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。

47. 发明授权

US07664735B2 Method and system for ranking documents of a search result to improve diversity and information richness 失效
标题翻译：搜索结果排序文件的方法和系统，以提高多样性和信息丰富度
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。

48. 发明申请

US20090313706A1 METHOD AND SYSTEM FOR DETECTING WHEN AN OUTGOING COMMUNICATION CONTAINS CERTAIN CONTENT 有权
标题翻译：当出现通信包含某些内容时检测的方法和系统
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。

49. 发明授权

US07617176B2 Query-based snippet clustering for search result grouping 有权
标题翻译：基于查询的片段聚类，用于搜索结果分组
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。

50. 发明申请

US20090228452A1 METHOD AND SYSTEM FOR MINING INFORMATION BASED ON RELATIONSHIPS 有权
标题翻译：基于关系挖掘信息的方法与系统
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。

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