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51. 发明申请

US20070143176A1 Advertising keyword cross-selling 有权
标题翻译：广告关键字交叉销售
公开(公告)号：US20070143176A1
公开(公告)日：2007-06-21
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。

52. 发明申请

US20070061356A1 Evaluating and generating summaries using normalized probabilities 有权
标题翻译：使用归一化概率评估和生成摘要
公开(公告)号：US20070061356A1
公开(公告)日：2007-03-15
申请号：US11225861
申请日：2005-09-13
申请人： Benyu Zhang , Hua-Jun Zeng , Wei-Ying Ma , Zheng Chen , Hua Li
发明人： Benyu Zhang , Hua-Jun Zeng , Wei-Ying Ma , Zheng Chen , Hua Li
IPC分类号： G06F7/00
CPC分类号： G06F17/277 , G06F17/30719 , Y10S707/99943
摘要： A summary system for evaluating summaries of documents and for generating summaries of documents based on normalized probabilities of portions of the documents is provided. A summarization system generates a summary by selecting sentences for the summary based on their normalized probabilities as derived from a document model. An evaluation system evaluates the effectiveness of a summary based on a normalized probability for the summary that is derived from a document model.
摘要翻译：提供了一种用于根据部分文档的归一化概率来评估文档摘要和用于生成文档摘要的摘要系统。摘要系统通过从文档模型导出的归一化概率选择摘要的句子来生成摘要。评估系统基于从文档模型导出的摘要的归一化概率来评估摘要的有效性。

53. 发明申请

US20070055646A1 Augmenting user, query, and document triplets using singular value decomposition 失效
标题翻译：使用奇异值分解增强用户，查询和文档三元组
公开(公告)号：US20070055646A1
公开(公告)日：2007-03-08
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
发明人： Hua-Jun Zeng , Jian-Tao Sun , Wei-Ying Ma , Zheng Chen , Benyu Zhang
IPC分类号： G06F17/30
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。

54. 发明申请

US20070005588A1 Determining relevance using queries as surrogate content 审中-公开
标题翻译：使用查询确定相关性作为替代内容
公开(公告)号：US20070005588A1
公开(公告)日：2007-01-04
申请号：US11174438
申请日：2005-07-01
申请人： Benyu Zhang , Gui-Rong Xue , Hua-Jun Zeng , Wei-Ying Ma , Zheng Chen
发明人： Benyu Zhang , Gui-Rong Xue , Hua-Jun Zeng , Wei-Ying Ma , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06F16/951
摘要： A method and system for determining the relevance of a document to a query based on surrogate content is provided. The relevance system associates queries with documents. The relevance system calculates the relevance of a document to a query based at least in part on the similarity of the associated queries to the query. When multiple queries are associated with a document, the relevance system may provide a weight for each query for calculating a combined relevance score for the associated queries.
摘要翻译：提供了一种用于基于代理内容确定文档与查询的相关性的方法和系统。相关系统将查询与文档相关联。相关系统至少部分地基于相关查询与查询的相似性来计算文档与查询的相关性。当多个查询与文档相关联时，相关系统可以为每个查询提供用于计算相关查询的组合相关性得分的权重。

55. 发明申请

US20060212897A1 System and method for utilizing the content of audio/video files to select advertising content for display 审中-公开
标题翻译：用于利用音频/视频文件的内容来选择要显示的广告内容的系统和方法
公开(公告)号：US20060212897A1
公开(公告)日：2006-09-21
申请号：US11084616
申请日：2005-03-18
申请人： Ying Li , Li Li , Tarek Najm , Hongbin Gao , Benyu Zhang , Xianfang Wang , Frank Seide , Roger Yu , Hua-Jun Zeng , Jian-Lai Zhou , Zheng Chen
发明人： Ying Li , Li Li , Tarek Najm , Hongbin Gao , Benyu Zhang , Xianfang Wang , Frank Seide , Roger Yu , Hua-Jun Zeng , Jian-Lai Zhou , Zheng Chen
IPC分类号： H04N7/10 , H04N7/025
CPC分类号： H04N7/17336 , H04H60/58 , H04H60/63 , H04H60/66 , H04N7/088 , H04N21/233 , H04N21/25891 , H04N21/26603 , H04N21/4143 , H04N21/6125 , H04N21/812
摘要： Systems and methods for analyzing the content of audio/video files using speech recognition and data mining technologies are provided. As it can generally be assumed that a user's interest is highly correlated with an audio/video clip or television program the user may be watching, methods and systems for utilizing the results of speech recognition and data mining technology implementation to retrieve relevant advertising content for display are also provided.
摘要翻译：提供了使用语音识别和数据挖掘技术分析音频/视频文件内容的系统和方法。通常可以假设用户的兴趣与用户可能正在观看的音频/视频剪辑或电视节目高度相关，用于利用语音识别结果和数据挖掘技术实现的方法和系统来检索用于显示的相关广告内容也提供。

56. 发明申请

US20060184481A1 Method and system for mining information based on relationships 有权
公开(公告)号：US20060184481A1
公开(公告)日：2006-08-17
申请号：US11057100
申请日：2005-02-11
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： G06N5/00
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.

57. 发明申请

US20060112036A1 Method and system for identifying questions within a discussion thread 失效
标题翻译：用于在讨论线程中识别问题的方法和系统
公开(公告)号：US20060112036A1
公开(公告)日：2006-05-25
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，指示该消息是问题消息的可能性。

58. 发明申请

US20060047497A1 Method and system for prioritizing communications based on sentence classifications 有权
公开(公告)号：US20060047497A1
公开(公告)日：2006-03-02
申请号：US10930687
申请日：2004-08-31
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： G06F17/20
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.

59. 发明申请

US20060026298A1 Method and system for prioritizing communications based on interpersonal relationships 失效
标题翻译：基于人际关系优先通信的方法和系统
公开(公告)号：US20060026298A1
公开(公告)日：2006-02-02
申请号：US10903709
申请日：2004-07-30
申请人： Hua-Jun Zeng , Zheng Chen , Benyu Zhang , Wei-Ying Ma
发明人： Hua-Jun Zeng , Zheng Chen , Benyu Zhang , Wei-Ying Ma
IPC分类号： G06F15/173
CPC分类号： G06Q10/107
摘要： A method and system for calculating the importance of persons based on interpersonal relationships and prioritizing communications based on importance of participants in the communications is provided. A prioritization system identifies relationships between persons and identifies the importance of a person to other persons based on these relationships. After the prioritization system identifies the importance of persons, the prioritization system can prioritize communications based on the importance of the senders or recipients.
摘要翻译：提供了一种用于基于人际关系计算人的重要性的方法和系统，并且基于参与者在通信中的重要性来确定通信的优先级。优先考虑系统确定人际关系，并根据这些关系确定一个人对其他人的重要性。在优先考虑系统确定人员的重要性之后，优先级排序系统可以根据发件人或收件人的重要性对通信进行优先级排序。

60. 发明申请

US20050246328A1 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：US20050246328A1
公开(公告)日：2005-11-03
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： G06F17/30 , G06F7/00
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，用户很可能会在涵盖各种主题的搜索结果文档的第一页上找到，而不仅仅是一个流行的主题。

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