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131. 发明授权

US08739276B2 Automatic construction of human interaction proof engines 有权
标题翻译：人工互动发动机自动构建
公开(公告)号：US08739276B2
公开(公告)日：2014-05-27
申请号：US12821124
申请日：2010-06-22
申请人： Geoffrey J. Hulten , Patrice Y. Simard , Darko Kirovski , Jesper B. Lind , Christopher A. Meek
发明人： Geoffrey J. Hulten , Patrice Y. Simard , Darko Kirovski , Jesper B. Lind , Christopher A. Meek
IPC分类号： G06F21/30
CPC分类号： G06F21/30 , G06F9/44 , G06F21/31 , G06F21/577 , G06F2221/2133 , H04L9/32
摘要： Human Interaction Proofs (“HIPs”, sometimes referred to as “captchas”), may be generated automatically. An captcha specification language may be defined, which allows a captcha scheme to be defined in terms of how symbols are to be chosen and drawn, and how those symbols are obscured. The language may provide mechanisms to specify the various ways in which to obscure symbols. New captcha schemes may be generated from existing specifications, by using genetic algorithms that combine features from existing captcha schemes that have been successful. Moreover, the likelihood that a captcha scheme has been broken by attackers may be estimated by collecting data on the time that it takes existing captcha schemes to be broken, and using regression to estimate the time to breakage as a function of either the captcha's features or its measured quality.
摘要翻译：人工交互证明（“HIP”，有时也称为“验证码”）可能会自动生成。可以定义验证码规范语言，这允许根据如何选择和绘制符号以及这些符号如何被遮蔽来定义验证码方案。该语言可以提供机制来指定模糊符号的各种方式。可以通过使用遗传算法从现有规范中生成新的验证码方案，该遗传算法将已经获得成功的现有验证码方案的功能相结合。此外，验证码计划已被攻击者破坏的可能性可以通过在现有验证码计划被破坏的时间收集数据来估计，并且使用回归来估计作为验证码的特征或函数的破坏时间其测量质量。

132. 发明授权

US08605089B1 Data visualization using association networks 有权
标题翻译：使用关联网络的数据可视化
公开(公告)号：US08605089B1
公开(公告)日：2013-12-10
申请号：US09781727
申请日：2001-02-12
申请人： David E. Heckerman , Christopher A. Meek
发明人： David E. Heckerman , Christopher A. Meek
IPC分类号： G06T11/20 , G06T11/40 , G09G5/20
CPC分类号： G06T11/206 , G06F17/30994 , G06T11/203 , G06T11/40 , G09G5/20
摘要： A system and method are employed to construct an association network to visualize relationships between variables of a data set. The relationships characterized by the association network may include symmetric or asymmetric measures of association between variables learned from the data. The association network includes nodes, which represent variables, and edges, which represent associations between variables. As a result, the association network helps a user to visualize useful information from data according to the determined measure of association.
摘要翻译：采用系统和方法来构建关联网络以可视化数据集的变量之间的关系。由关联网络表征的关系可以包括从数据中学习的变量之间的关联的对称或非对称度量。关联网络包括表示变量的节点和表示变量之间的关联的边。结果，关联网络帮助用户根据确定的关联度量可视化数据中的有用信息。

133. 发明申请

US20130262369A1 FORECASTING A FUTURE EVENT IN AN EVENT STREAM 有权
标题翻译：预测活动中的未来事件
公开(公告)号：US20130262369A1
公开(公告)日：2013-10-03
申请号：US13433289
申请日：2012-03-29
申请人： Asela Jeevaka Ranaweera Guanwardana , Christopher A. Meek , Ankur P. Parikh
发明人： Asela Jeevaka Ranaweera Guanwardana , Christopher A. Meek , Ankur P. Parikh
IPC分类号： G06N5/02
CPC分类号： G06N7/005
摘要： Methods and systems for forecasting a future event in an event stream are provided herein. The event stream includes a number of events, wherein each of the events includes an event label and an associated time stamp. The system includes a processor that is adapted to execute stored instructions and a system memory. The system memory includes code configured to generate one or more decision graphs for predicting events with event labels chosen from a number of event labels based on the events within the event stream, wherein the decision graph includes decision nodes and leaf nodes, and wherein each of the decision nodes includes a question. The system memory also includes code configured to analyze event stream data using the decision graph and forecast a future event in the event stream based on the analysis of the event stream data.
摘要翻译：本文提供了用于预测事件流中未来事件的方法和系统。事件流包括多个事件，其中每个事件包括事件标签和相关联的时间戳。该系统包括适于执行存储的指令和系统存储器的处理器。系统存储器包括被配置为生成用于基于事件流内的事件从多个事件标签中选择的事件标签来预测事件的一个或多个决策图，其中所述决策图包括决策节点和叶节点，并且其中每个决策节点包括一个问题。系统存储器还包括被配置为使用决策图来分析事件流数据的代码，并且基于事件流数据的分析来预测事件流中的未来事件。

134. 发明授权

US08527339B2 Quality based pricing and ranking for online ads 有权
标题翻译：基于质量的定价和在线广告的排名
公开(公告)号：US08527339B2
公开(公告)日：2013-09-03
申请号：US12146473
申请日：2008-06-26
申请人： Asela J. Gunawardana , Jody D. Biggs , Jesper B. Lind , Christopher A. Meek
发明人： Asela J. Gunawardana , Jody D. Biggs , Jesper B. Lind , Christopher A. Meek
IPC分类号： G06Q99/00
CPC分类号： G06Q30/02 , G06Q30/0243
摘要： A “Quality-Based Ad Pricer” prices ads as a function of how users respond to a particular page and/or domain to which they are sent by an online advertisement. User experience is improved by ensuring that advertisements that are more relevant to a user are priced less than an ads which are less relevant to the user. In particular, a quality factor for each ad is determined as a property of the advertiser's site based on measured user behaviors with respect to that site. This quality factor is then used in ranking, selecting, and pricing ads in an automated online auction. Further, while ad aggregators are not excluded from the ad market by the pricing rules of the Quality-Based Ad Pricer, these rules ensure that there is a “level playing field” such that ads of merchants are not excluded by the ads of ad aggregators.
摘要翻译： “质量为基础的广告价格”将广告定价为用户如何响应通过在线广告发送的特定页面和/或域的功能。通过确保与用户更相关的广告的价格低于与用户相关性较低的广告来提高用户体验。特别地，基于相对于该站点的测量用户行为，每个广告的品质因子被确定为广告商网站的属性。然后，此质量因子用于在自动化在线拍卖中对广告进行排名，选择和定价。此外，虽然广告集合商并未按照质量为基础的广告价格定价规则从广告市场中排除，但这些规则确保有一个“公平竞争的环境”，广告商广告不会被广告集合商的广告排除在外。

135. 发明授权

US08458349B2 Anonymous and secure network-based interaction 有权
标题翻译：匿名和安全的基于网络的互动
公开(公告)号：US08458349B2
公开(公告)日：2013-06-04
申请号：US13156210
申请日：2011-06-08
申请人： Bradly A. Brunell , Susan T. Dumais , Joshua T. Goodman , Eric J. Horvitz , Gary Flake , Anoop Gupta , Christopher A. Meek , Ramez Naam , Kyle Peltonen
发明人： Bradly A. Brunell , Susan T. Dumais , Joshua T. Goodman , Eric J. Horvitz , Gary Flake , Anoop Gupta , Christopher A. Meek , Ramez Naam , Kyle Peltonen
IPC分类号： G06F15/16
CPC分类号： H04L63/0407 , G06F21/6254 , G06F21/6263 , H04L29/12433 , H04L61/2539 , H04L63/0414 , H04L63/164
摘要： The subject disclosure pertains to anonymous network interaction. More specifically, mechanisms are provided to ensure anonymity with respect network interaction such that third parties are unable to determine the source and/or intent of communications. Accordingly, entities may anonymize all outgoing and/or incoming data packets so as to mitigate outside entities from learning about information being sought and/or provided. For example, a user or corporation may employ an anonymizer with respect to web searching so that outside entities are not able to determine what information is attempted to be accessed and by whom.
摘要翻译：主题公开涉及匿名网络交互。更具体地，提供机制以确保与网络交互相关的匿名性，使得第三方不能确定通信的源和/或意图。因此，实体可以对所有输出和/或输入数据分组进行匿名化，以便减轻外部实体不需要寻求和/或提供的信息。例如，用户或公司可以使用关于网页搜索的匿名者，使得外部实体不能确定尝试访问什么信息以及由哪个人访问。

136. 发明申请

US20130006915A1 DECISION GRAPH FOR EVENT STREAM DATA 有权
标题翻译：事件流数据的决策图
公开(公告)号：US20130006915A1
公开(公告)日：2013-01-03
申请号：US13172069
申请日：2011-06-29
申请人： Asela Jeevaka Ranaweera Gunawardana , Christopher A. Meek , Puyang Xu
发明人： Asela Jeevaka Ranaweera Gunawardana , Christopher A. Meek , Puyang Xu
IPC分类号： G06N5/02
CPC分类号： G06N5/02 , G06N5/048 , G06N7/005 , G06N7/06
摘要： A method of generating a decision graph from event stream data, wherein the event stream data includes a plurality of events, and each event includes an associated time stamp, includes generating decision nodes for the graph, wherein the decision nodes each comprise a question having a temporal element. The method includes generating leaf nodes for the graph, wherein the leaf nodes each comprise a rate parameter, and iteratively splitting and merging nodes in the graph in order to maximize a measure of purity of outcomes in resulting nodes.
摘要翻译：一种从事件流数据生成决策图的方法，其中所述事件流数据包括多个事件，并且每个事件包括相关联的时间戳，包括为所述图形生成决策节点，其中所述决策节点各自包括具有时间要素该方法包括生成图的叶节点，其中叶节点各自包括速率参数，并且迭代地分割和合并图中的节点，以便最大化所得节点中结果的纯度度量。

137. 发明申请

US20120323537A1 DETECTING IMPACT OF EXTRINSIC EVENTS ON A TIME SERIES 有权
标题翻译：检测超级事件对时间序列的影响
公开(公告)号：US20120323537A1
公开(公告)日：2012-12-20
申请号：US13162927
申请日：2011-06-17
申请人： Alex Bocharov , Christopher A. Meek , Bo Thiesson
发明人： Alex Bocharov , Christopher A. Meek , Bo Thiesson
IPC分类号： G06F17/10
CPC分类号： G06F17/18
摘要： In one embodiment, an event impact signature detector may analyze a time series with external events. A data interface 250 may receive a data set 310 representing the time series with external events. A processor 220 may fit the data set 310 into a baseline time series model 330. The processor 220 may iteratively determine each event location 352 for multiple external events 350 affecting the baseline time series model 330. The processor 220 may iteratively solve for each event impact 354 of the multiple external events 350 factoring in interactions between the multiple external events 350.
摘要翻译：在一个实施例中，事件影响签名检测器可以分析具有外部事件的时间序列。数据接口250可以接收表示具有外部事件的时间序列的数据集310。处理器220可以将数据集310拟合到基线时间序列模型330中。处理器220可以迭代地确定影响基线时间序列模型330的多个外部事件350的每个事件位置352.处理器220可以迭代地解决每个事件的影响多个外部事件350之间的354个因素导致多个外部事件之间的交互350。

138. 发明授权

US08326859B2 Task prediction 有权
标题翻译：任务预测
公开(公告)号：US08326859B2
公开(公告)日：2012-12-04
申请号：US12610392
申请日：2009-11-02
申请人： Timothy S. Paek , Christopher A. Meek
发明人： Timothy S. Paek , Christopher A. Meek
IPC分类号： G06F17/30
CPC分类号： G06Q10/10
摘要： This patent application pertains to computing scenarios that allow users to more readily accomplish desired tasks. One implementation includes at least one dictionary of potential auto-suggestions that can be generated in relation to user-input. The implementation also includes a text framework configured to weight at least some of the potential auto-suggestions based upon one or more parameters. This implementation further includes a task engine configured to associate tasks with at least some of the potential auto-suggestions.
摘要翻译：该专利申请涉及允许用户更容易地完成所需任务的计算场景。一个实现包括可以相对于用户输入生成的潜在的自动建议的至少一个字典。该实现还包括被配置为基于一个或多个参数来加权至少一些潜在的自动建议的文本框架。该实现还包括被配置为将任务与至少一些潜在的自动建议相关联的任务引擎。

139. 发明授权

US08239460B2 Content-based tagging of RSS feeds and E-mail 有权
标题翻译：基于内容的RSS订阅和电子邮件标记
公开(公告)号：US08239460B2
公开(公告)日：2012-08-07
申请号：US11771236
申请日：2007-06-29
申请人： Christopher A. Meek , Ojiakonobi Amala Udezue
发明人： Christopher A. Meek , Ojiakonobi Amala Udezue
IPC分类号： G06F15/16 , G06F17/00
CPC分类号： G06Q10/10
摘要： Providing for automated generation of tags (e.g., metadata descriptors) for items of e-mail or syndication formatted communication is described herein. By way of example, a system can include a filtering component that can generate one or more tags based on information relevant to content of the communication, a sender, or recipient, or combinations thereof. In addition, such tags can be automatically attached to a received item, or a presentation component can furnish the tags to a recipient (e.g., by way of a communication device user interface) for selection, whereby selected tags are associated with the item of communication. Accordingly, the subject innovation provides for improved classification and description of items of communication by automatic generation of descriptive and/or representative tags associated therewith.
摘要翻译：本文描述了为电子邮件或联合格式化通信的项目自动生成标签（例如，元数据描述符）。作为示例，系统可以包括可以基于与通信内容相关的信息，发送者或接收者或其组合来生成一个或多个标签的过滤组件。此外，这样的标签可以自动地附加到接收到的项目，或者呈现组件可以向接收者（例如，通过通信设备用户界面）提供标签用于选择，由此所选择的标签与通信项目相关联。因此，本发明通过自动生成与之相关联的描述性和/或代表性标签来提供改进的通信项的分类和描述。

140. 发明授权

US08090738B2 Multi-modal search wildcards 有权
标题翻译：多模式搜索通配符
公开(公告)号：US08090738B2
公开(公告)日：2012-01-03
申请号：US12200625
申请日：2008-08-28
申请人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
发明人： Timothy Seung Yoon Paek , Bo Thiesson , Yun-Cheng Ju , Bongshin Lee , Christopher A. Meek
IPC分类号： G06F7/00 , G06F17/30
CPC分类号： G06F17/3064 , G10L15/26
摘要： A multi-modal search system (and corresponding methodology) that employs wildcards is provided. Wildcards can be employed in the search query either initiated by the user or inferred by the system. These wildcards can represent uncertainty conveyed by a user in a multi-modal search query input. In examples, the words “something” or “whatchamacallit” can be used to convey uncertainty and partial knowledge about portions of the query and to dynamically trigger wildcard generation.
摘要翻译：提供了采用通配符的多模态搜索系统（以及相应的方法）。通配符可以由用户发起或由系统推断的搜索查询中使用。这些通配符可以表示用户在多模态搜索查询输入中传达的不确定性。在例子中，单词“something”或“whatchamacallit”可用于传达有关部分查询的不确定性和部分知识，并动态触发通配符生成。

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