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公开(公告)号：US20080275862A1
公开(公告)日：2008-11-06
申请号：US11743942
申请日：2007-05-03
Applicant: Tie-Yan Liu , Bin Gao , Wei-Ying Ma
Inventor： Tie-Yan Liu , Bin Gao , Wei-Ying Ma
IPC: G06F17/30
CPC classification number: G06K9/6224 , G06F17/3071
Abstract: A clustering system generates an original Laplacian matrix representing objects and their relationships. The clustering system initially applies an eigenvalue decomposition solver to the original Laplacian matrix for a number of iterations. The clustering system then identifies the elements of the resultant eigenvector that are stable. The clustering system then aggregates the elements of the original Laplacian matrix corresponding to the identified stable elements and forms a new Laplacian matrix that is a compressed form of the original Laplacian matrix. The clustering system repeats the applying of the eigenvalue decomposition solver and the generating of new compressed Laplacian matrices until the new Laplacian matrix is small enough so that a final solution can be generated in a reasonable amount of time.
Abstract translation: 聚类系统生成表示对象及其关系的原始拉普拉斯矩阵。 聚类系统首先将特征值分解求解器应用于原始拉普拉斯矩阵进行多次迭代。 然后，聚类系统识别所得到的特征向量的元素是稳定的。 然后，聚类系统聚合对应于所识别的稳定元素的原始拉普拉斯矩阵的元素，并形成作为原始拉普拉斯矩阵的压缩形式的新的拉普拉斯矩阵。 聚类系统重复应用特征值分解求解器和生成新的压缩拉普拉斯矩阵，直到新的拉普拉斯矩阵足够小，以便在合理的时间内生成最终解。
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公开(公告)号：US20080147669A1
公开(公告)日：2008-06-19
申请号：US11611113
申请日：2006-12-14
Applicant: Tie-Yan Liu , Bin Gao , Guoyang Shen , Wei-Ying Ma , Amit Aggarwal
Inventor： Tie-Yan Liu , Bin Gao , Guoyang Shen , Wei-Ying Ma , Amit Aggarwal
IPC: G06F17/30
CPC classification number: G06F16/951
Abstract: A method and system for determining whether a web site is a spam web site based on analysis of changes in link information over time is provided. A spam detection system collects link information for a web site at various times. The spam detection system extracts one or more features from the link information that relate to changes in the link information over time. The spam detection system then generates an indication of whether the web site is a spam web site using a classifier that has been trained to detect whether the extracted feature indicates that the web site is likely to be spam.
Abstract translation: 提供一种用于基于对随着时间的链接信息的变化的分析来确定网站是否是垃圾网站的方法和系统。 垃圾邮件检测系统在不同时间收集网站的链接信息。 垃圾邮件检测系统从与链接信息随时间变化相关的链接信息中提取一个或多个特征。 然后，垃圾邮件检测系统使用已经被训练来检测所提取的特征是否指示该网站可能是垃圾邮件的分类器来生成网站是否是垃圾邮件网站的指示。
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公开(公告)号：US10204163B2
公开(公告)日：2019-02-12
申请号：US12762423
申请日：2010-04-19
Applicant: Bin Gao , Tie-Yan Liu
Inventor： Bin Gao , Tie-Yan Liu
IPC: G06F17/30
Abstract: Many search engines attempt to understand and predict a user's search intent after the submission of search queries. Predicting search intent allows search engines to tailor search results to particular information needs of the user. Unfortunately, current techniques passively predict search intent after a query is submitted. Accordingly, one or more systems and/or techniques for actively predicting search intent from user browsing behavior data are disclosed herein. For example, search patterns of a user browsing a web page and shortly thereafter performing a query may be extracted from user browsing behavior. Queries within the search patterns may be ranked based upon a search trigger likelihood that content of the web page motivated the user to perform the query. In this way, query suggestions having a high search trigger likelihood and a diverse range of topics may be generated and/or presented to users of the web page.
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公开(公告)号：US20150222649A1
公开(公告)日：2015-08-06
申请号：US14688924
申请日：2015-04-16
Applicant: Fansheng ZENG , Bin GAO
Inventor： Fansheng ZENG , Bin GAO
CPC classification number: H04L63/1416 , G06F16/951 , G06F16/972 , H04L67/02
Abstract: The present disclosure describes a method for processing a webpage. A user device obtains a gesture track of a user and queries a gesture track database according to the gesture track obtained, wherein the gesture track database stores a relationship between the gesture track and account information of the user. The user device obtains the account information corresponding to the gesture track and provides the account information to a log-in server, so as to log in the application.
Abstract translation: 本公开描述了一种用于处理网页的方法。 用户设备获得用户的手势轨迹，并根据获得的手势轨迹查询手势轨迹数据库，其中手势轨迹数据库存储手势轨迹和用户的帐户信息之间的关系。 用户设备获取对应于手势轨道的帐户信息，并将帐户信息提供给登录服务器，以便登录应用程序。
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Patent Agency Ranking
公开(公告)号：US20130097027A1
公开(公告)日：2013-04-18
申请号：US13272844
申请日：2011-10-13
Applicant: Taifeng Wang , Tie-Yan Liu , Bin Gao , Tao Qin
Inventor： Taifeng Wang , Tie-Yan Liu , Bin Gao , Tao Qin
IPC: G06Q30/02
CPC classification number: G06Q30/02
Abstract: A task guidance tool that displays instructional steps and associated advertisements may facilitate the accomplishment of a task by users who are otherwise unfamiliar with the task. The task guidance tool may be developed from input data mined from various sources. The task guidance tool may display a series of step pages in which each step page include instructions for accomplishing a corresponding step of the task. Further, one or more step pages of the task guidance tool may be provided with selected advertisements that are displayed with the step instructions.
Abstract translation: 显示教学步骤和相关联广告的任务指导工具可以促进由不熟悉任务的用户完成任务。 任务指导工具可以从从各种来源挖掘的输入数据中开发。 任务指导工具可以显示一系列步骤页面，其中每个步骤页面包括用于完成任务的相应步骤的指令。 此外，可以为任务指导工具的一个或多个步骤页面提供与步骤指令一起显示的所选择的广告。
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公开(公告)号：US20120143792A1
公开(公告)日：2012-06-07
申请号：US12959060
申请日：2010-12-02
Applicant: Taifeng Wang , Bin Gao , Tie-Yan Liu
Inventor： Taifeng Wang , Bin Gao , Tie-Yan Liu
CPC classification number: G06F17/30873 , G06F17/30867
Abstract: Some implementations provide techniques for selecting web pages for inclusion in an index. For example, some implementations apply regularization to select a subset of the crawled web pages for indexing based on link relationships between the crawled web pages, features extracted from the crawled web pages, and user behavior information determined for at least some of the crawled web pages. Further, in some implementations, the user behavior information may be used to sort a training set of crawled web pages into a plurality of labeled groups. The labeled groups may be represented in a directed graph that indicates relative priorities for being selected for indexing.
Abstract translation: 一些实现提供用于选择包括在索引中的网页的技术。 例如，一些实现应用正则化来基于被爬网的网页之间的链接关系，从被爬网的网页提取的特征以及为至少一些被爬网的网页确定的用户行为信息来选择用于索引的被爬网网页的子集 。 此外，在一些实现中，可以使用用户行为信息来将爬网网页的训练集合分类成多个标记的组。 标记的组可以在有向图中表示，其指示被选择用于索引的相对优先级。
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公开(公告)号：US20120100180A1
公开(公告)日：2012-04-26
申请号：US13254039
申请日：2009-04-03
CPC classification number: C12N5/0636 , A61K2035/124 , C12N2501/515 , C12N2510/00
Abstract: Methods for expansion of antigen-specific T cells are provided. Said methods include following steps: generating antigen-specific T cells by stimulation of T cells with antigen A; introducing genes encoding immune recognition molecule specific to major histocompatibility complex (MHC) molecule bound with a peptide derived from antigen B into the antigen A specific T cell to produce bi-specific T cells recognizing both target cells expressing antigen A peptide associated MHC and target cells expressing antigen B peptide associated MHC; stimulating the bi-specific T cells by antigen A for expansion of the bi-specific T cells in vitro or in vivo. Methods of the present invention can be applied to expand various of T cells with specific to cancer cells with tumor antigen peptide loaded MHC molecules for adoptive therapy against unmet medical need such as tumors etc.
Abstract translation: 提供了用于扩增抗原特异性T细胞的方法。 所述方法包括以下步骤：通过用抗原A刺激T细胞产生抗原特异性T细胞; 引入编码针对与源自抗原B的肽结合的主要组织相容性复合物（MHC）分子特异性的免疫识别分子的基因进入抗原A特异性T细胞，以产生识别表达抗原A肽相关MHC和靶细胞的两种靶细胞的双特异性T细胞 表达抗原B肽相关MHC; 通过抗原A刺激双特异性T细胞以在体外或体内扩增双特异性T细胞。 本发明的方法可应用于扩增具有癌细胞特异性的各种具有肿瘤抗原肽的MHC分子的T细胞用于针对未满足的医疗需要如肿瘤等的过继疗法。
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公开(公告)号：US20110295845A1
公开(公告)日：2011-12-01
申请号：US12789278
申请日：2010-05-27
Applicant: Bin Gao , Taifeng Wang , Tie-Yan Liu
Inventor： Bin Gao , Taifeng Wang , Tie-Yan Liu
IPC: G06F17/30
CPC classification number: G06F16/951
Abstract: Importance ranking of web pages is performed by defining a graph-based regularization term based on document features, edge features, and a web graph of a plurality of web pages, and deriving a loss term based on human feedback data. The graph-based regularization term and the loss term are combined to obtain a global objective function. The global objective function is optimized to obtain parameters for the document features and edge features and to produce static rank scores for the plurality of web pages. Further, the plurality of web pages is ordered based on the static rank scores.
Abstract translation: 通过基于文档特征，边缘特征和多个网页的网络图定义基于图形的正则化术语，并且基于人类反馈数据导出丢失项来执行网页的重要性排名。 基于图形的正则化项和损失项被组合以获得全局目标函数。 优化全局目标函数以获得文档特征和边缘特征的参数，并且为多个网页产生静态等级分数。 此外，基于静态等级分数来排序多个网页。
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公开(公告)号：US07974977B2
公开(公告)日：2011-07-05
申请号：US11743942
申请日：2007-05-03
Applicant: Tie-Yan Liu , Bin Gao , Wei-Ying Ma
Inventor： Tie-Yan Liu , Bin Gao , Wei-Ying Ma
CPC classification number: G06K9/6224 , G06F17/3071
Abstract: A clustering system generates an original Laplacian matrix representing objects and their relationships. The clustering system initially applies an eigenvalue decomposition solver to the original Laplacian matrix for a number of iterations. The clustering system then identifies the elements of the resultant eigenvector that are stable. The clustering system then aggregates the elements of the original Laplacian matrix corresponding to the identified stable elements and forms a new Laplacian matrix that is a compressed form of the original Laplacian matrix. The clustering system repeats the applying of the eigenvalue decomposition solver and the generating of new compressed Laplacian matrices until the new Laplacian matrix is small enough so that a final solution can be generated in a reasonable amount of time.
Abstract translation: 聚类系统生成表示对象及其关系的原始拉普拉斯矩阵。 聚类系统首先将特征值分解求解器应用于原始拉普拉斯矩阵进行多次迭代。 然后，聚类系统识别所得到的特征向量的元素是稳定的。 然后，聚类系统聚合对应于所识别的稳定元素的原始拉普拉斯矩阵的元素，并形成作为原始拉普拉斯矩阵的压缩形式的新的拉普拉斯矩阵。 聚类系统重复应用特征值分解求解器和生成新的压缩拉普拉斯矩阵，直到新的拉普拉斯矩阵足够小，以便在合理的时间内生成最终解。
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