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51. 发明申请

US20080208841A1 CLICK-THROUGH LOG MINING 有权
标题翻译：点击通过日志采矿
公开(公告)号：US20080208841A1
公开(公告)日：2008-08-28
申请号：US11870359
申请日：2007-10-10
申请人： Huajun Zeng , Jian Hu , Hua Li , Zheng Chen , Jian Wang
发明人： Huajun Zeng , Jian Hu , Hua Li , Zheng Chen , Jian Wang
IPC分类号： G06F17/30
CPC分类号： G06F17/30648 , G06F17/30672 , G06F17/30864
摘要： Click-through log mining is described. Raw search click-through log data is processed to generate ordered query keywords, utilizing an algorithm to expand user-submitted keywords to include high frequency user queries, managing the keywords for a keyword expansion file, analyzing the algorithm performance on a bidding criteria, and identifying related phrases with similar page-click behaviors for advertisements.
摘要翻译：描述了点击式日志挖掘。处理原始搜索点击后日志数据以生成有序查询关键字，利用算法来扩展用户提交的关键字以包括高频用户查询，管理关键字扩展文件的关键字，以出价标准分析算法性能;以及识别与广告相似的页面点击行为的相关短语。

52. 发明授权

US07403888B1 Language input user interface 有权
标题翻译：语言输入用户界面
公开(公告)号：US07403888B1
公开(公告)日：2008-07-22
申请号：US09606811
申请日：2000-06-28
申请人： Jian Wang , Gao Zhang , Jian Han , Zheng Chen , Xianoning Ling , Kai-Fu Lee
发明人： Jian Wang , Gao Zhang , Jian Han , Zheng Chen , Xianoning Ling , Kai-Fu Lee
IPC分类号： G10L11/00
CPC分类号： G06F17/27 , G06F3/018 , G06F17/273 , G06F17/2775 , G06F17/2863 , G10L15/187
摘要： A language input architecture receives input text (e.g., phonetic text of a character-based language) entered by a user from an input device (e.g., keyboard, voice recognition). The input text is converted to an output text (e.g., written language text of a character-based language). The language input architecture has a user interface that displays the output text and unconverted input text in line with one another. As the input text is converted, it is replaced in the UI with the converted output text. In addition to this in-line input feature, the UI enables in-place editing or error correction without requiring the user to switch modes from an entry mode to an edit mode. To assist with this in-place editing, the UI presents pop-up windows containing the phonetic text from which the output text was converted as well as first and second candidate lists that contain small and large sets of alternative candidates that might be used to replace the current output text. The language input user interface also allows a user to enter a mixed text of different languages.
摘要翻译：语言输入架构从输入设备（例如，键盘，语音识别）接收用户输入的输入文本（例如，基于字符的语言的语音文本）。输入文本被转换为输出文本（例如，基于字符的语言的书面语言文本）。语言输入架构具有用于显示输出文本和未转换的输入文本的用户界面。当输入文本被转换时，它将在UI中被替换为转换的输出文本。除了这种在线输入功能之外，UI还可以进行就地编辑或纠错，而无需用户将模式从入门模式切换到编辑模式。为了协助进行就地编辑，用户界面将显示弹出窗口，其中包含输出文本被转换的语音文本以及第一个和第二个候选列表，其中包含可用于替换的小组和大组替代候选项当前的输出文本。语言输入用户界面还允许用户输入不同语言的混合文本。

53. 发明授权

US07392474B2 Method and system for classifying display pages using summaries 有权
标题翻译：使用汇总分类显示页面的方法和系统
公开(公告)号：US07392474B2
公开(公告)日：2008-06-24
申请号：US10836319
申请日：2004-04-30
申请人： Zheng Chen , Dou Shen , Benyu Zhang , Hua-Jun Zeng , Wei-Ying Ma
发明人： Zheng Chen , Dou Shen , Benyu Zhang , Hua-Jun Zeng , Wei-Ying Ma
IPC分类号： G06F17/00
CPC分类号： G06F17/30719 , G06F17/30864
摘要： A method and system for classifying display pages based on automatically generated summaries of display pages. A web page classification system uses a web page summarization system to generate summaries of web pages. The summary of a web page may include the sentences of the web page that are most closely related to the primary topic of the web page. The summarization system may combine the benefits of multiple summarization techniques to identify the sentences of a web page that represent the primary topic of the web page. Once the summary is generated, the classification system may apply conventional classification techniques to the summary to classify the web page. The classification system may use conventional classification techniques such as a Naïve Bayesian classifier or a support vector machine to identify the classifications of a web page based on the summary generated by the summarization system.
摘要翻译：一种基于自动生成的显示页面摘要来分类显示页面的方法和系统。网页分类系统使用网页摘要系统来生成网页摘要。网页的摘要可以包括与网页的主要主题最密切相关的网页的句子。总结系统可以结合多个汇总技术的优点来识别代表网页的主要主题的网页的句子。一旦生成摘要，分类系统可以将常规分类技术应用于摘要以对网页进行分类。分类系统可以使用诸如朴素贝叶斯分类器或支持向量机的常规分类技术来基于由汇总系统生成的摘要来识别网页的分类。

54. 发明申请

US20080037877A1 AUTOMATIC CLASSIFICATION OF OBJECTS WITHIN IMAGES 有权
标题翻译：在图像中自动分类对象
公开(公告)号：US20080037877A1
公开(公告)日：2008-02-14
申请号：US11464410
申请日：2006-08-14
申请人： Menglei Jia , Hua Li , Xing Xie , Zheng Chen , Wei-Ying Ma
发明人： Menglei Jia , Hua Li , Xing Xie , Zheng Chen , Wei-Ying Ma
IPC分类号： G06K9/62
CPC分类号： G06K9/4671 , G06F17/30247
摘要： A system for automatically classifying an object of a target image is provided. A classification system provides a collection of classified images along with a classification of the dominant object of the image. The classification system attempts to classify the object of a target image based on similarity of the target image to the classified images. To classify a target image, the classification system identifies the classified images of the collection that are most similar to the target image based on similarity between salient points of the target image and the classified images. The classification system selects a classification associated with the classified images that are most similar to the target image as a classification for the object of the target image.
摘要翻译：提供了一种用于自动分类目标图像的对象的系统。分类系统提供分类图像的集合以及图像的主要对象的分类。分类系统尝试基于目标图像与分类图像的相似性对目标图像的对象进行分类。为了对目标图像进行分类，分类系统基于目标图像的突出点与分类图像之间的相似度来识别与目标图像最相似的集合的分类图像。分类系统选择与目标图像最相似的分类图像相关联的分类作为目标图像的对象的分类。

55. 发明申请

US20070239697A1 Extracting semantic attributes 有权
标题翻译：提取语义属性
公开(公告)号：US20070239697A1
公开(公告)日：2007-10-11
申请号：US11392761
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 , G06F17/30112 , G06F17/3012 , Y10S707/99933
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。

56. 发明申请

US20070239638A1 Text classification by weighted proximal support vector machine 有权
标题翻译：通过加权近端支持向量机进行文本分类
公开(公告)号：US20070239638A1
公开(公告)日：2007-10-11
申请号：US11384889
申请日：2006-03-20
申请人： Dong Zhuang , Benyu Zhang , Zheng Chen , Hua-Jun Zeng , Jian Wang
发明人： Dong Zhuang , Benyu Zhang , Zheng Chen , Hua-Jun Zeng , Jian Wang
IPC分类号： G06F15/18
CPC分类号： G06F17/30707 , G06K9/6269
摘要： Embodiments of the invention relate to improvements to the support vector machine (SVM) classification model. When text data is significantly unbalanced (i.e., positive and negative labeled data are in disproportion), the classification quality of standard SVM deteriorates. Embodiments of the invention are directed to a weighted proximal SVM (WPSVM) model that achieves substantially the same accuracy as the traditional SVM model while requiring significantly less computational time. A weighted proximal SVM (WPSVM) model in accordance with embodiments of the invention may include a weight for each training error and a method for estimating the weights, which automatically solves the unbalanced data problem. And, instead of solving the optimization problem via the KKT (Karush-Kuhn-Tucker) conditions and the Sherman-Morrison-Woodbury formula, embodiments of the invention use an iterative algorithm to solve an unconstrained optimization problem, which makes WPSVM suitable for classifying relatively high dimensional data.
摘要翻译：本发明的实施例涉及对支持向量机（SVM）分类模型的改进。当文本数据显着不平衡（即正负标签数据不成比例）时，标准SVM的分类质量恶化。本发明的实施例涉及一种加权近端SVM（WPSVM）模型，其实现与传统SVM模型基本相同的精度，同时需要显着更少的计算时间。根据本发明的实施例的加权近端SVM（WPSVM）模型可以包括每个训练误差的权重以及用于估计权重的方法，其自动地解决不平衡数据问题。而且，不是通过KKT（Karush-Kuhn-Tucker）条件和Sherman-Morrison-Woodbury公式来解决优化问题，而是本发明的实施例使用迭代算法来解决无约束优化问题，这使得WPSVM适合于相对分类高维数据。

57. 发明申请

US20070239553A1 Collaborative filtering using cluster-based smoothing 审中-公开
标题翻译：使用基于群集的平滑的协同过滤
公开(公告)号：US20070239553A1
公开(公告)日：2007-10-11
申请号：US11377130
申请日：2006-03-16
申请人： Chenxi Lin , Gui-Rong Xue , Hua-Jun Zeng , Zheng Chen , Benyu Zhang , Jian Wang
发明人： Chenxi Lin , Gui-Rong Xue , Hua-Jun Zeng , Zheng Chen , Benyu Zhang , Jian Wang
IPC分类号： G06Q30/00
CPC分类号： G06Q30/0623 , G06F16/9535 , G06Q30/0242 , G06Q30/0274
摘要： In an embodiment, a method of predicting an active user's rating for an item is disclosed. A database of users may be sorted into clusters. The data associated with the users in each cluster may be smoothed to filling in ratings for items that the users have not personally rated. An active user may then be compared to a set of users, where the set may be all or some portion of the database, to determine the K users that are most similar to the active user. The ratings of the K users regarding the item may be used to predict the active user's rating for the item. In an embodiment, the rating of each of the K users is assigned a confidence value associated with whether the user personally rated the item or if the rating was generated by the data smoothing process.
摘要翻译：在一个实施例中，公开了一种用于预测项目的活跃用户评级的方法。可以将用户的数据库分类为群集。可以平滑与每个群集中的用户相关联的数据，以填充用户未被评估的项目的评级。然后可以将活动用户与一组用户进行比较，其中该集合可以是数据库的全部或部分，以确定与活动用户最相似的K个用户。关于该项目的K个用户的评级可以用于预测该项目的活动用户的评级。在一个实施例中，每个K个用户的评级被分配与用户个人评价该项目相关联的置信度值，或者如果该评级是由数据平滑处理产生的。

58. 发明申请

US20060259473A1 System and method for utilizing the content of an online conversation to select advertising content and/or other relevant information for display 有权
标题翻译：用于利用在线对话的内容来选择广告内容和/或其他相关信息进行显示的系统和方法
公开(公告)号：US20060259473A1
公开(公告)日：2006-11-16
申请号：US11128788
申请日：2005-05-13
申请人： Ying Li , Li Li , Tarek Najm , Xianfang Wang , Hongbin Gao , Hua-Jun Zeng , Benyu Zhang , Zheng Chen
发明人： Ying Li , Li Li , Tarek Najm , Xianfang Wang , Hongbin Gao , Hua-Jun Zeng , Benyu Zhang , Zheng Chen
IPC分类号： G06F17/30
CPC分类号： G06Q30/02 , Y10S707/99937
摘要： Systems and methods for analyzing the content of online conversations using data mining technologies are provided. Methods and systems for utilizing the results of data mining technology implementation to retrieve relevant advertising content and/or other relevant information for display in association with the content of an online conversation are also provided.
摘要翻译：提供了使用数据挖掘技术分析在线对话内容的系统和方法。还提供了利用数据挖掘技术实现结果来检索相关广告内容和/或与在线对话内容相关联地显示的其他相关信息的方法和系统。

59. 发明申请

US20060259356A1 Adpost: a centralized advertisement platform 审中-公开
标题翻译： Adpost：一个集中的广告平台
公开(公告)号：US20060259356A1
公开(公告)日：2006-11-16
申请号：US11127130
申请日：2005-05-12
申请人： Benyu Zhang , Fengping Zeng , Hua-Jun Zeng , Li Li , Wei-Ying Ma , Ying Li , Zheng Chen , Tarek Najm
发明人： Benyu Zhang , Fengping Zeng , Hua-Jun Zeng , Li Li , Wei-Ying Ma , Ying Li , Zheng Chen , Tarek Najm
IPC分类号： G06Q30/00
CPC分类号： G06Q30/02 , G06Q30/0256
摘要： A method is provided to ubiquitously promote products or services provided by a plurality of advertisers across a plurality of content-based applications. The method may include receiving data from the plurality of advertisers describing the products or services provided by the plurality of advertisers. The received data is stored in an advertisement database where a user may subsequently query the advertisement database to locate data promoting a product or service. Additionally, terms and payment data are extracted from the received advertisement data to efficiently promote the products or services provided by the advertiser across the plurality of content-based applications.
摘要翻译：提供了一种在多个基于内容的应用程序中无处不在地促进由多个广告商提供的产品或服务的方法。该方法可以包括从多个广告商接收描述由多个广告商提供的产品或服务的数据。所接收的数据被存储在广告数据库中，用户随后可以查询广告数据库以定位促销产品或服务的数据。此外，从接收到的广告数据中提取术语和支付数据，以有效地促进广告商在多个基于内容的应用程序中提供的产品或服务。

60. 发明申请

US20060204081A1 Method and system for incrementally learning an adaptive subspace by optimizing the maximum margin criterion 有权
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.

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