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1.发明申请UNIFORM SEARCH SYSTEM AND METHOD FOR SELECTIVELY SHARING DISTRIBUTED ACCESS-CONTROLLED DOCUMENTS 失效用于选择性共享分布式访问控制文档的统一搜索系统和方法公开(公告)号：US20080183703A1
公开(公告)日：2008-07-31
申请号：US12061698
申请日：2008-04-03
CPC分类号： G06F17/30864 , G06F17/30699 , G06F17/30702 , G06F21/6245 , Y10S707/99933 , Y10S707/99943 , Y10S707/99945
摘要： A privacy-preserving index system addresses the problem of providing a privacy-preserving search over distributed access-controlled content. Indexed documents can be readily reconstructed from inverted indexes used in the search. The privacy-preserving index system builds a centralized privacy-preserving index in conjunction with a distributed access-control enforcing search protocol. The privacy-preserving index utilizes a randomized algorithm for constructing a privacy-preserving index. The privacy-preserving index is strongly resilient to privacy breaches. The privacy-preserving index system allows content providers to maintain complete control in defining access groups and ensuring its compliance, and further allows system implementors to retain tunable knobs to balance privacy and efficiency concerns for their particular domains.
摘要翻译： 隐私保护索引系统解决了在分布式访问控制内容上提供隐私保护搜索的问题。 索引文档可以从搜索中使用的倒排索引轻松重建。 隐私保护索引系统与分布式访问控制执行搜索协议结合构建集中的隐私保护索引。 隐私保护索引利用随机算法来构建隐私保护索引。 隐私保护指数对隐私违规行为具有强大的抵御能力。 隐私保护索引系统允许内容提供商在定义访问组并确保其遵从性时保持完全的控制，并且还允许系统实现者保留可调谐旋钮以平衡其特定域的隐私和效率问题。
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2.发明授权Uniform search system and method for selectively sharing distributed access-controlled documents 失效用于选择性共享分布式访问控制文档的统一搜索系统和方法公开(公告)号：US07409406B2
公开(公告)日：2008-08-05
申请号：US10657458
申请日：2003-09-08
CPC分类号： G06F17/30864 , G06F17/30699 , G06F17/30702 , G06F21/6245 , Y10S707/99933 , Y10S707/99943 , Y10S707/99945
摘要： A privacy-preserving index system addresses the problem of providing a privacy-preserving search over distributed access-controlled content. Indexed documents can be readily reconstructed from inverted indexes used in the search. The privacy-preserving index system builds a centralized privacy-preserving index in conjunction with a distributed access-control enforcing search protocol. The privacy-preserving index utilizes a randomized algorithm for constructing a privacy-preserving index. The privacy-preserving index is strongly resilient to privacy breaches. The privacy-preserving index system allows content providers to maintain complete control in defining access groups and ensuring its compliance, and further allows system implementors to retain tunable knobs to balance privacy and efficiency concerns for their particular domains.
摘要翻译： 隐私保护索引系统解决了在分布式访问控制内容上提供隐私保护搜索的问题。 索引文档可以从搜索中使用的倒排索引轻松重建。 隐私保护索引系统与分布式访问控制执行搜索协议结合构建集中的隐私保护索引。 隐私保护索引利用随机算法来构建隐私保护索引。 隐私保护指数对隐私违规行为具有强大的抵御能力。 隐私保护索引系统允许内容提供商在定义访问组并确保其遵从性时保持完全的控制，并且还允许系统实现者保留可调谐旋钮以平衡其特定域的隐私和效率问题。
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3.发明授权System and method for organizing repositories of semi-structured documents such as email 有权用于组织电子邮件等半结构化文件的存储库的系统和方法公开(公告)号：US06592627B1
公开(公告)日：2003-07-15
申请号：US09329684
申请日：1999-06-10
申请人： Rakesh Agrawal , Roberto Javier Bayardo , Dimitrios Gunopulos , Ching-Tien Howard Ho , Sunita Sarawagi , John Christopher Shafer , Ramakrishnan Srikant
发明人： Rakesh Agrawal , Roberto Javier Bayardo , Dimitrios Gunopulos , Ching-Tien Howard Ho , Sunita Sarawagi , John Christopher Shafer , Ramakrishnan Srikant
IPC分类号： G06F1730
CPC分类号： G06F17/30011
摘要： A user can easily organize computerized document folders by associating a few sample documents in the document database with each folder. The present invention learns folder profiles based on the sample documents and moves the remaining documents into the folders accordingly. In this way, the user can construct new folders, or rearrange existing folders, or cause the computer to automatically rearrange and maintain the folders. This is particularly useful for managing a database of perhaps thousands of emails.
摘要翻译： 用户可以通过将文档数据库中的几个示例文档与每个文件夹相关联来轻松组织计算机化的文档文件夹。 本发明基于样本文件学习文件夹简档，并将剩余的文档相应地移动到文件夹中。 这样，用户可以构建新的文件夹，或重新排列现有的文件夹，或使计算机自动重新排列和维护文件夹。 这对于管理数以千计的电子邮件的数据库特别有用。
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4.发明授权System and method for constraint-based rule mining in large, dense data-sets 有权在大型，密集数据集中基于约束的规则挖掘的系统和方法公开(公告)号：US06278997B1
公开(公告)日：2001-08-21
申请号：US09245319
申请日：1999-02-05
IPC分类号： G06F1730
CPC分类号： G06F17/30539 , Y10S707/99936
摘要： A dense data-set mining system and method is provided that directly exploits all user-specified constraints including minimum support, minimum confidence, and a new constraint, known as minimum gap, which prunes any rule having conditions that do not contribute to its predictive accuracy. The method maintains efficiency even at low supports on data that is dense in the sense that many items appear with high frequency (e.g. relational data).
摘要翻译： 提供了一种密集的数据集挖掘系统和方法，其直接利用所有用户指定的约束，包括最小支持，最小置信度和称为最小间隙的新约束，该约束修剪具有条件的任何规则，这些条件对其预测准确性无贡献 。 即使在许多项目以高频率出现（例如关系数据）的意义上，密集的数据的低支持性也能够保持效率。
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5.发明申请Uniform search system and method for selectively sharing distributed access-controlled documents 失效用于选择性共享分布式访问控制文档的统一搜索系统和方法公开(公告)号：US20050055327A1
公开(公告)日：2005-03-10
申请号：US10657458
申请日：2003-09-08
申请人： Rakesh Agrawal , Mayank Bawa , Roberto Bayardo
发明人： Rakesh Agrawal , Mayank Bawa , Roberto Bayardo
CPC分类号： G06F17/30864 , G06F17/30699 , G06F17/30702 , G06F21/6245 , Y10S707/99933 , Y10S707/99943 , Y10S707/99945
摘要： A privacy-preserving index system addresses the problem of providing a privacy-preserving search over distributed access-controlled content. Indexed documents can be readily reconstructed from inverted indexes used in the search. The privacy-preserving index system builds a centralized privacy-preserving index in conjunction with a distributed access-control enforcing search protocol. The privacy-preserving index utilizes a randomized algorithm for constructing a privacy-preserving index. The privacy-preserving index is strongly resilient to privacy breaches. The privacy-preserving index system allows content providers to maintain complete control in defining access groups and ensuring its compliance, and further allows system implementors to retain tunable knobs to balance privacy and efficiency concerns for their particular domains.
摘要翻译： 隐私保护索引系统解决了在分布式访问控制内容上提供隐私保护搜索的问题。 索引文档可以从搜索中使用的倒排索引轻松重建。 隐私保护索引系统与分布式访问控制执行搜索协议结合构建集中的隐私保护索引。 隐私保护索引利用随机算法构建隐私保护索引。 隐私保护指数对隐私违规行为具有强大的抵御能力。 隐私保护索引系统允许内容提供商在定义访问组并确保其遵从性时保持完全的控制，并且还允许系统实现者保留可调谐旋钮以平衡其特定域的隐私和效率问题。
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6.发明授权Uniform search system and method for selectively sharing distributed access-controlled documents 失效用于选择性共享分布式访问控制文档的统一搜索系统和方法公开(公告)号：US07711727B2
公开(公告)日：2010-05-04
申请号：US12061698
申请日：2008-04-03
申请人： Rakesh Agrawal , Mayank Bawa , Roberto J. Bayardo
发明人： Rakesh Agrawal , Mayank Bawa , Roberto J. Bayardo
IPC分类号： G06F17/30
CPC分类号： G06F17/30864 , G06F17/30699 , G06F17/30702 , G06F21/6245 , Y10S707/99933 , Y10S707/99943 , Y10S707/99945
摘要： A privacy-preserving index system addresses the problem of providing a privacy-preserving search over distributed access-controlled content. Indexed documents can be readily reconstructed from inverted indexes used in the search. The privacy-preserving index system builds a centralized privacy-preserving index in conjunction with a distributed access-control enforcing search protocol. The privacy-preserving index utilizes a randomized algorithm for constructing a privacy-preserving index. The privacy-preserving index is strongly resilient to privacy breaches. The privacy-preserving index system allows content providers to maintain complete control in defining access groups and ensuring its compliance, and further allows system implementors to retain tunable knobs to balance privacy and efficiency concerns for their particular domains.
摘要翻译： 隐私保护索引系统解决了在分布式访问控制内容上提供隐私保护搜索的问题。 索引文档可以从搜索中使用的倒排索引轻松重建。 隐私保护索引系统与分布式访问控制执行搜索协议结合构建集中的隐私保护索引。 隐私保护索引利用随机算法构建隐私保护索引。 隐私保护指数对隐私违规行为具有强大的抵御能力。 隐私保护索引系统允许内容提供商在定义访问组并确保其遵从性时保持完全的控制，并且还允许系统实现者保留可调谐旋钮以平衡其特定域的隐私和效率问题。
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公开(公告)号：US08612432B2
公开(公告)日：2013-12-17
申请号：US12816389
申请日：2010-06-16
CPC分类号： G06F17/30979
摘要： A tree structure has a node associated with each category of a hierarchy of item categories. Child nodes of the tree are associated with sub-categories of the categories associated with parent nodes. Training data including received queries and indicators of a selected item category for each received query is combined with the tree structure by associating each query with the node corresponding to the selected category of the query. When a query is received, a classifier is applied to the nodes to generate a probability that the query is intended to match an item of the category associated with the node. The classifier is applied until the probability is below a threshold. One or more categories associated with the nodes that are closest to the intent of the received query are selected and indicators of items of those categories that match the received query are output.
摘要翻译： 树结构具有与项目类别的层次结构的每个类别相关联的节点。 树的子节点与与父节点相关联的类别的子类别相关联。 通过将每个查询与对应于所选择的查询类别的节点相关联，将包括接收到的查询和针对每个接收到的查询的所选项目类别的指示符的训练数据与树结构组合。 当接收到查询时，分类器被应用于节点以产生查询旨在匹配与节点相关联的类别的项目的概率。 应用分类器直到概率低于阈值。 选择与接收到的查询的意图最接近的节点相关联的一个或多个类别，并输出与接收到的查询匹配的那些类别的项目的指示符。
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8.发明授权Methods and systems for visually distinguishing user attribute similarities and differences 有权用于视觉区分用户属性相似性和差异的方法和系统公开(公告)号：US08413060B1
公开(公告)日：2013-04-02
申请号：US12000846
申请日：2007-12-18
申请人： Rakesh Agrawal
发明人： Rakesh Agrawal
CPC分类号： H04L51/04
摘要： Methods, computer-readable storage media, and systems are provided to facilitate visually distinguishing common attributes of users an electronic communication network or messaging service. In particular, user profile attributes are compared between a first and second user, and similar attributes are visually highlighted by assigning, for example, a distinct font, font size, color, font effect, and/or other visual effect to the user's screen name to designate which attributes are similar. In addition, or alternatively, when the first user views a user profile of the second user, common user attributes are visually highlighted. In one embodiment, the font, font size, color, and/or font effect assigned to the highlighted attribute indicates a degree of similarity of the attribute. Such implementations may allow users to more easily recognize and interact with others that have similar interests and attributes.
摘要翻译： 提供方法，计算机可读存储介质和系统以便于在电视通信网络或消息服务的视觉上区分用户的公共属性。 特别地，在第一和第二用户之间比较用户简档属性，并且通过向用户的屏幕名称分配例如不同的字体，字体大小，颜色，字体效果和/或其他视觉效果来视觉突出类似的属性 指定哪些属性相似。 另外或替代地，当第一用户查看第二用户的用户简档时，公共用户属性被视觉上突出显示。 在一个实施例中，分配给突出显示的属性的字体，字体大小，颜色和/或字体效果指示属性的相似程度。 这样的实现可以允许用户更容易地识别和与具有相似兴趣和属性的其他人交互。
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公开(公告)号：US08244747B2
公开(公告)日：2012-08-14
申请号：US11566931
申请日：2006-12-05
IPC分类号： G06F17/30
CPC分类号： G06F17/30448 , G06F17/30557
摘要： An implementation wherein RFID data is shared across independent organizations has been addressed. RFID data is usually spread across different parties, e.g. enterprises in a supply chain and thus, efficient query processing across all parties is required. Traceability is emerging as one of the key applications of RFID technology. A generic data model is introduced for querying RFID data across a network of independently operated data sources. The model can be used to facilitate traceability query processing and give a set of representative traceability queries. A newly designed process-and-forward approach is implemented for executing traceability queries.
摘要翻译： 解决了RFID数据在独立组织之间共享的实现。 RFID数据通常分布在不同方面，例如 供应链中的企业，因此需要各方有效的查询处理。 可追溯性正在成为RFID技术的关键应用之一。 引入了通用数据模型，用于通过独立运行的数据源网络查询RFID数据。 该模型可用于促进可追溯性查询处理，并提供一组具有代表性的可追溯性查询。 实施新设计的进程和转发方法来执行可追溯性查询。
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公开(公告)号：US20100185577A1
公开(公告)日：2010-07-22
申请号：US12414065
申请日：2009-03-30
申请人： Panayiotis Tsaparas , Panagiotis Papadimitriou , Ariel D. Fuxman , Lise C. Getoor , Rakesh Agrawal
发明人： Panayiotis Tsaparas , Panagiotis Papadimitriou , Ariel D. Fuxman , Lise C. Getoor , Rakesh Agrawal
IPC分类号： G06N5/02
CPC分类号： G06N99/005
摘要： As provided herein objects from a source catalog, such as a provider's catalog, can be added to a target catalog, such as an enterprise master catalog, in a scalable manner utilizing catalog taxonomies. A baseline classifier determines probabilities for source objects to target catalog classes. Source objects can be assigned to those classes with probabilities that meet a desired threshold and meet a desired rate. A classification cost for target classes can be determined for respective unassigned source objects, which can comprise determining an assignment cost and separation cost for the source objects for respective desired target classes. The separation and assignment costs can be combined to determine the classification cost, and the unassigned source objects can be assigned to those classes having a desired classification cost.
摘要翻译： 如本文所提供的，可以使用目录分类法将来自源目录的诸如提供者目录的对象以可扩展的方式添加到目标目录，例如企业主目录。 基准分类器确定源对象到目标目录类的概率。 可以将源对象分配给具有满足期望阈值且满足期望速率的概率的那些类。 可以针对相应的未分配的源对象来确定目标类别的分类成本，其可以包括确定用于各个期望目标类别的源对象的分配成本和分离成本。 分离和分配成本可以组合以确定分类成本，并且未分配的源对象可以被分配给具有期望的分类成本的那些类。
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